Google Cloud Professional Architect Certification Exam Answers Preparation Guide - Practice questions with explanations

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Google Cloud Professional Architect Certification Exam Answers Preparation Guide - Practice questions with explanations

The All-in-one Google Professional Cloud Architect Certification Exam Preparation Guide With Real Test Questions, Answers, and Explanations. The only Google Cloud Professional (GCP) Architect certification exam preparation guide based on the real exam questions. Hundreds of questions, with correct answers, and explanations.

Prepare for your certification smarter.

Over 480 exam questions Google Cloud Professional Architect certification exam questions.
Real certification exam questions
Detailed answer explanations.

Are you aspiring to become a Google Cloud Professional Architect? The journey to achieving this prestigious certification can be rigorous, but with the right resources, it’s entirely within your reach. That’s where our “All-in-One Google Professional Cloud Architect Certification Exam Preparation Guide” comes into play, providing you with an indispensable tool to conquer the exam.

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Key Features of the Guide:

Real Exam Questions: We offer over 480 real exam questions. This extensive collection ensures that you cover a wide array of topics and question formats that are likely to appear in the actual exam.

Correct Answers and Explanations: Each question is accompanied by the correct answer and detailed explanations. This approach not only helps you in memorizing the answers but also in understanding the underlying concepts, which is crucial for a thorough comprehension of Google Cloud architecture.

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Google Cloud Professional Architect Certification Exam Practice Test

Below you’ll find some mock questions with explanations. Check if you knew the answer. This covers some key aspects from the latest GCP Cloud Professional Architect certification.

Questions:

When managing a globally distributed application that delivers both static and dynamic HTTP/HTTPS content, which Google Cloud Load Balancer configuration is most effective for ensuring high availability and low latency, particularly when a single IP address is needed for global routing?

Global HTTP(S) Load Balancer
Regional TCP Proxy Load Balancer
Global SSL Proxy Load Balancer
Regional External HTTP(S) Load Balancer
Regional Internal HTTP(S) Load Balancer

For a large-scale financial institution deploying machine learning models on GCP for fraud detection, with a stringent policy on data encryption at rest, in transit, and during ML computation, which GCP service or combination of services best aligns with these requirements?

AI Platform Training with Customer-Managed Encryption Keys (CMEK)
Data prep for feature engineering and AI Platform Prediction with default encryption
AI Platform Training with CMEK and Secure ML
BigQuery ML with CMEK and Data Loss Prevention API
TensorFlow on GKE with Istio for in-transit encryption

To establish a comprehensive data lake solution in GCP that handles batch and stream data ingestion, as well as transformations and analytics with SQL-like queries, which set of GCP services should be utilized?

BigQuery, Cloud Pub/Sub, and Dataflow
BigTable and Dataprep
BigQuery and Dataprep
Cloud Spanner, Dataflow, and BigQuery
Cloud Storage, BigQuery, and Cloud Scheduler

Following the migration of a monolithic application to a microservices architecture on GCP, which combination of services should be employed to ensure high availability, fault tolerance, and the facilitation of canary deployments?

Compute Engine with Managed Instance Groups and Cloud Monitoring
API Gateway with Cloud Endpoints and Cloud Armor
Kubernetes Engine with Istio and Traffic Director
App Engine with Traffic Splitting and Cloud CDN
Cloud Functions with Pub/Sub and VPC Peering

For a multinational corporation seeking a scalable and cost-effective solution on GCP to store and analyze large volumes of data, which service is most appropriate?

Google Cloud Bigtable
Google Cloud Storage
Google Cloud Spanner
Google Cloud Pub/Sub
Google Cloud Dataflow

In designing a highly available GCP architecture for a worldwide e-commerce platform, which service is optimal for balancing traffic effectively while ensuring low latency for both IPv4 and IPv6 clients?

Google Cloud Load Balancer with global HTTP(S) load balancing
Google Cloud Traffic Director for advanced traffic management
Google Cloud CDN for content delivery optimization
Google Cloud Armor for DDoS protection
Google Cloud NAT Gateway for network address translation

When your development team needs to deploy a new instance in the europe-central2 region, requiring access to an application on a Compute Engine instance in the us-west1 region within the same project, what is the recommended approach following Google’s best practices?

Create a VPC and a subnetwork in europe-central2 region, expose the application with an internal load balancer, and use the load balancer’s address for the new instance in the subnetwork.
Create a subnetwork in the same VPC in europe-central2 region, use Cloud VPN to connect the subnetworks, and use the first instance’s private address for the new instance.
Create a subnetwork in the same VPC in europe-central2 region, and use the first instance’s private address for the new instance in the subnetwork.
Create a VPC and a subnetwork in europe-central2 region, peer the two VPCs, and use the first instance’s private address for the new instance in the subnetwork.

For deploying a new instance in the europe-central2 region that needs to access an application on a Compute Engine instance in the us-west1 region within the same project, what is the recommended practice according to Google’s guidelines?

Create a subnetwork in the same VPC in the europe-central2 region, then deploy a new instance in this subnetwork using the first instance’s private address as the endpoint.
Utilize Cloud VPN to establish an encrypted tunnel between VPCs for secure connectivity.
Implement VPC peering for inter-VPC private communication.
Set up Cloud Router and BGP sessions for dynamic routing between VPCs.

When your development team plans to set up a new instance in europe-central2 with access requirements to an application on a Compute Engine instance in us-west1 within the same project, what would be the advisable approach following Google’s best practices?

Establish a subnetwork in the same VPC in the europe-central2 region and provision a new instance in this subnetwork, utilizing the original instance’s private address as the endpoint.
Employ Cloud VPN to facilitate encrypted tunnel connections between the VPCs.
Apply VPC peering for private inter-VPC communications.
Configure Cloud Router and BGP sessions for effective dynamic routing across VPCs.

As a Cloud Engineer aiming to manage CPU and memory resources efficiently in a Kubernetes cluster, what should you configure to receive notifications if CPU usage exceeds 80% for 5 minutes or memory usage goes over 90% for 1 minute?

Set up a complex alerting rule in a custom monitoring agent.
Establish a Cloud Pub/Sub topic with a Cloud Scheduler job for alerts.
Implement a custom logging pipeline to monitor resource usage.
Formulate an alerting policy with specific conditions for CPU and memory usage thresholds.

To establish development, test, and production environments in Google Cloud for a project, while ensuring consistency and adhering to Google’s best practices, what is the recommended approach?

Create a unified Terraform configuration for all environments.
Utilize the Cloud Foundation Toolkit to design a versatile deployment template, deployable across all environments using Terraform.
Develop a Cloud Shell script incorporating gcloud commands for environment deployment.
Formulate separate Terraform configurations for each environment, deploying them as needed.

Given that the finance department requires logs from a financial application to be retained for five years, rarely accessed but available within three days if needed, what is the most suitable storage recommendation?

Archive the logs in BigQuery for on-demand analysis.
Transfer the logs to Cloud Storage and utilize Coldline storage class.
Retain the logs in Cloud Logging for straightforward retrieval.
Relocate the logs to Cloud Pub/Sub for process-driven analysis.

Your company’s finance department requires long-term storage of logs from a financial application, with a five-year retention period and accessibility within three days on demand. What storage method would you recommend?

Archive the logs for immediate analysis in BigQuery.
Migrate the logs to Cloud Storage, opting for the Coldline storage class.
Keep the logs readily accessible in Cloud Logging.
Channel the logs through Cloud Pub/Sub for event-responsive processing.

Your application receives millions of API requests per second, and you want to manage them effectively.
You need a GCP service that allows customization of API behavior without writing code, and also provides
analytics, monitoring, and quotas. Which service will you use?
You're tasked with implementing an IoT solution that needs to handle a large number of device messages
per second. These messages need to be ingested into a real-time analytics pipeline. Which GCP service
would you use for message queuing?
You are designing a system where you have to enforce VPC Service Controls for restricting data access
within the organization. However, the application should still be able to access APIs like Cloud Vision.
What should you do?
You need to enforce IAM policies in a hierarchical manner across multiple GCP projects for your
organization. You need to implement the principle of least privilege. Which GCP feature should you
primarily make use of for effective IAM management?
To restrict traffic to a subnet hosting databases during your migration, which combination of GCP services
and features should you use?
An e-commerce site has seen a surge in bot attacks. You need to ensure API security without affecting
performance. Which GCP services should you employ for this use case?
Your application consists of microservices that require granular control over network traffic and intricate
security policies. Which combination of GCP services should you use?
You're planning to migrate an on-premises database to GCP. What should be considered for a smooth
migration? (Select 3)
An application in a Managed Instance Group requires that files uploaded by users be available only for 30
days. Which GCP storage solution should you opt for?
An organization is implementing a CI/CD pipeline in GCP for a microservices-based application. The
pipeline needs to deploy multiple services in a Kubernetes cluster, manage secrets, and roll back in case
of failure. Which combination of GCP services is best for implementing this?
Your application's front-end is hosted on Compute Engine instances and you are using Cloud Spanner for
your database. You need to secure the communication between the two, ensuring low latency and high
throughput. What is the best way to achieve this?
In a GKE Autopilot cluster, you want to achieve stateful workload isolation in different zones within the
same region. How can you most effectively accomplish this?
You are deploying a data analytics pipeline, and you want to implement IaC for the entire lifecycle of the
GCP resources involved (Dataflow, Pub/Sub, BigQuery). Which GCP service allows you to template these
resources while supporting custom Python logic?
You are running a multi-cloud environment, and you need to keep track of GCP expenses compared to
other cloud providers. You need to quickly drill down into cost anomalies. What should you do?
You have a Managed Instance Group (MIG) serving traffic through an HTTP(S) Load Balancer. You want to
divert a portion of traffic to a new set of instances for A/B testing without creating a new load balancer.
What is the best approach?
Your GKE cluster has an application that processes high volumes of real-time data and uses Cloud
Pub/Sub for message queuing. You want to guarantee strict message ordering. How would you accomplish
this?
In a GKE environment, you need to provide a third-party auditing entity with logs to prove that your
application has not been tampered with. Which GCP service should you use to securely store these logs?
Your company has strict data residency requirements, and you are considering using GCP's data storage
services. Which of the following services allows you to specify the region where your data is stored?
Your organization requires a solution for a stateful application that needs session persistence. Traffic
comes from both internal services and the Internet. The organization also needs integration with
Identity-Aware Proxy for context-aware access control. Which combination of GCP services should be
used for these specific needs?
You are developing an application that requires rapid access to a key-value store, low-latency reads and
writes, and the ability to scale horizontally. What GCP service would you recommend for meeting these
specific storage requirements?
For a global IoT application that needs to ingest data from millions of devices, which GCP service would be
best suited to handle large-scale data ingestion? In addition, which service would you recommend for
real-time analytics of this data?
You are configuring a CI/CD pipeline using Cloud Build. You need to ensure that the build process can
access source code from Cloud Source Repositories, build Docker images, and deploy them to GKE. What
combination of roles would best suit this requirement without violating the least privilege principle?
You need to implement a highly available and fault-tolerant database solution in GCP for a mission-critical
application. Which GCP database service and configuration would you recommend?
Your organization is deploying a new service and wants to monitor API calls, latency, and also automate
scaling based on custom metrics. What GCP services will best facilitate this?
You are tasked with deploying a latency-sensitive application on GCP. The application makes API calls to
various microservices. You also need to ensure that the application is cost-effective. What is the best
approach to minimize latency while keeping costs down?
Your organization is deploying a new service and wants to monitor API calls, latency, and also automate
scaling based on custom metrics. What GCP services will best facilitate this?
You are tasked with setting up a Cloud Interconnect connection that must be operational at all times and
cannot afford any downtime. You've been asked to design it in the most fault-tolerant way. How would you
proceed?
Your application running on Kubernetes Engine requires access to a managed NoSQL database that
supports automatic sharding. Which GCP service should you use?
You are responsible for designing a data warehouse solution that should be able to handle both batch and
real-time data processing workloads. What GCP service would be best suited for this scenario?
Your application needs to move data between different GCP services for various transformations. What
services would best suit this requirement for building an event-driven data pipeline?
You are implementing a policy where no Compute Engine instances should have public IPs. You want this
policy to be organization-wide. Which feature would you use to enforce this policy?
When deploying a containerized application to GKE, which feature ensures automatic scaling of your pods
based on custom Cloud Monitoring metrics?
Your GKE cluster's worker nodes are experiencing high latency during peak hours, affecting the
application's performance. What is the next best step?
You are implementing a hybrid cloud with on-premises servers and GCP. You need low-latency, secure
communication between on-premises and GCP. What GCP service should you use?
You are migrating a CPU-intensive machine learning application to GCP and need to optimize costs. Your
application can tolerate some downtime. What type of VMs and scheduling should you use?
Your organization has opted for the Flat-rate pricing model in BigQuery. You want to allocate the dedicated
slots to various departments based on their requirements. Which BigQuery feature allows you to do this?
Your application has a microservices architecture, and you need to trace requests across multiple
services, capture latency data, and have real-time monitoring. Which set of GCP services would fulfill
these requirements?
Your team has built a machine learning model for predictive maintenance of factory machinery. The model
needs to be retrained every month with new data. What GCP service will allow you to automate this
process?
For compliance reasons, you need to retain API call logs for your services in Google Cloud for an extended
period. Which service and feature will allow you to customize the retention policy for logs?
You are responsible for ensuring high availability and fault tolerance for a mission-critical application.
Which GCP service will allow you to distribute incoming traffic across multiple instances in different
regions?
Your organization needs to perform real-time analytics on large volumes of rapidly changing data. Which
GCP service would be most suitable for this requirement?
Your application needs to stream large files from storage for video processing. Speed is essential. The
application runs on Compute Engine instances, and you need a storage option that allows multiple
instances to read and write the same files. Which GCP storage option is most appropriate?
Your organization wants to optimize costs for a set of non-critical, short-lived Compute Engine instances.
These instances should automatically terminate after their work is done and should be very cost-effective.
What would you recommend?
Your application on Compute Engine generates a significant amount of logs. You are concerned about the
cost of storing these logs while ensuring they are easily searchable. What strategy should you
recommend?
Your organization wants to migrate a petabyte-scale data warehouse to BigQuery. Which GCP service
should be used for the most efficient and secure data transfer?
Your organization wants to implement a data lake architecture on GCP. Which GCP service provides the
most native integrations with open-source big data tools like Apache Spark and Apache Hadoop?
As a Cloud Architect, you are implementing an IoT solution where devices are expected to send data at
unpredictable intervals. The data will be used for both real-time analytics and long-term storage. Which
GCP service should be used for ingesting this type of data?
You're tasked with implementing a robust security monitoring solution for an organization using Google
Cloud. The organization wants real-time alerts based on the detection of suspicious activities across all
GCP services. What GCP service should be your primary focus for achieving this requirement?
You are working on a machine learning model that needs to be trained on a large dataset. The training
needs to be cost-effective and should be able to scale horizontally. What combination of GCP services
should you consider for this scenario?
You're in charge of ensuring compliance with data protection laws such as GDPR. You need to
automatically classify, redact, and report sensitive information in your GCP environment. Which set of
services would be best for achieving this?
You're tasked with improving the security posture of your GCP project. You need to continuously monitor
for security threats, enforce security policies, and manage security keys. Which combination of services
would you use?
Your organization is keen on migrating a monolithic application to a microservices architecture on GCP.
They are particularly concerned about the networking aspects such as service discovery, load balancing,
and fault tolerance. What should you recommend?
Your organization wants to develop a mobile application backed by a secure and scalable API. The
application will make use of user authentication, a database, and machine learning functionalities. Which
combination of GCP services is best suited for this requirement?
You are responsible for maintaining a multi-regional storage solution for an application that serves millions
of users worldwide. The solution needs to have low-latency read and write operations, global transaction
consistency, and scalability. Which GCP service is the most appropriate choice?
You are architecting a CI/CD pipeline for a multi-cloud environment. You need to ensure seamless
deployment to both GCP and AWS. Which GCP service would you select for this requirement?
Your organization is leveraging BigQuery for data analytics. You're responsible for optimizing costs. Which
of the following practices would most effectively reduce query costs in BigQuery?
Your company needs to analyze large sets of streaming data to make real-time decisions. The analytics
team prefers to use SQL for querying. Which GCP service should you recommend?
You are responsible for ensuring that only specific teams within your organization can access certain
resources in a GCP project. What is the most effective way to manage this while adhering to the principle
of least privilege?
Your team needs to create a virtual network that spans multiple GCP projects. You also need fine-grained
control over the routing and IP address range for the virtual network. Which GCP networking product will
allow you to achieve this?
You are designing a system to process and store data coming from IoT devices. This data is of various
types and formats. It is crucial to ensure that the system can handle schema evolution seamlessly. What
Google Cloud storage option would be best suited for this scenario?
You have an application using GCP's Cloud Spanner, and you've noticed that write operations are
becoming a bottleneck as your application scales. What is the best approach to resolve this issue?
Your company has strict requirements for data residency and needs to ensure that data in a Cloud Spanner
database does not leave a specific region. How would you configure Cloud Spanner to meet this
requirement?
As a Cloud Architect, you have to implement a CI/CD pipeline in GCP for a microservices-based
application. You want to automate testing and deployment while adhering to the principles of immutability
and infrastructure as code. Which combination of GCP services will best meet these requirements?
Your application requires a managed database service that supports ACID transactions and offers
seamless scalability. However, the application also has a read-heavy workload, and you are looking to
balance cost with performance. Which database service should you choose?
You have a set of machine learning models that you want to deploy and manage at scale. These models
were not trained on Google Cloud and are in different formats. What GCP service should you consider
using to meet these requirements?
You're responsible for an application where numerous IoT devices send data to GCP. These devices are
spread globally, and you need to process these messages in real-time for analytics. The devices send data
over MQTT. What combination of GCP services should you use?
A company wants to implement a CI/CD pipeline in GCP for a polyglot application (Java, Node.js, and
Python). The pipeline must include automated testing, code quality analysis, and deployment to a
serverless environment. Which GCP service or services should be utilized for this?
You are tasked with designing a disaster recovery strategy for an application running on GCP. The
application uses Cloud Spanner, Cloud Pub/Sub, and App Engine. What should be your primary focus to
ensure minimal downtime in case of a regional failure?
You are developing a machine learning model on GCP and need to ensure model interpretability. What
combination of services would be most appropriate?
An e-commerce company wants to ensure high availability and redundancy for their web application on
GCP. Which GCP service or feature should they leverage to distribute incoming traffic across multiple
regions and zones?
Your company needs to set up a real-time data analytics pipeline on GCP. You want to ingest data from
various sources, perform streaming analytics, and store results in a scalable, managed data warehouse.
Which GCP services should you use to build this pipeline?
Your company is running a data-intensive workload on GCP, and you need a scalable, serverless data
warehousing solution. Which GCP service should you choose to efficiently analyze large datasets and gain
insights?
Your company is running a data-intensive workload on GCP, and you need a scalable, serverless data
warehousing solution. Which GCP service should you choose to efficiently analyze large datasets and gain
insights?
Your company is running a data-intensive workload on GCP, and you need a scalable, serverless data
warehousing solution. Which GCP service should you choose to efficiently analyze large datasets and gain
insights?
Your organization needs to process and analyze large volumes of log data efficiently, and you want to
leverage Google Cloud services for this purpose. Which Google Cloud service can you use to collect,
analyze, and gain insights from log data?
Your team is working on a machine learning project that requires distributed training of deep learning
models on large datasets. Which Google Cloud service can you use to efficiently manage and distribute
the training workload, following best practices for machine learning workloads?
Your organization is planning to host a public-facing website on Google Cloud. The website needs to
handle sudden traffic spikes effectively and ensure high availability. What Google Cloud service should
you use to distribute incoming traffic across multiple instances or regions, improving the website's
performance and reliability?
Your organization is planning to host a public-facing website on Google Cloud. The website needs to
handle sudden traffic spikes effectively and ensure high availability. What Google Cloud service should
you use to distribute incoming traffic across multiple instances or regions, improving the website's
performance and reliability?
Your organization is working on a data analytics project that involves processing large volumes of
structured data from various sources. You want to use Google Cloud services to build a scalable and
cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
transformation, and loading (ETL) in this project?
Select the main steps of the migration process in the correct order.
A healthcare company collects Personally Identifiable Information (PII) and they want to run a highly
secure environment in Google Cloud. They want to use Virtual machines to run workloads. What should
you advise them?
To model different legal entities, departments, and teams within a company in Google Cloud resource
hierarchy, you can use ...
You are tasked to create a CI/CD pipeline that includes automated testing and deployment to Google
Kubernetes Engine. Which services and configurations would be best suited for this?
A media company is using GCP for their real-time and batch data processing needs. They are currently
using Pub/Sub for real-time data ingestion. Which service should they use for batch data ingestion and
why?
You're designing a data lake solution in GCP and have to ingest structured, semi-structured, and
unstructured data. Which services should you use to build a scalable and flexible data lake?
For your real-time data analytics application, you want to ingest, process, and analyze data streams. Which
combination of GCP services should you choose?
You are experiencing intermittent connectivity issues between your GKE pods and an external API. What
GCP service would help you debug this issue?
A Managed Instance Group is configured to auto-scale based on Cloud Monitoring metrics. However,
instances are not scaling as expected. What could be the reason? (Select 2)
Your team is planning to migrate an existing stateless application to App Engine. The application makes
extensive API calls and processes large data streams. You need to decide between App Engine Standard
and App Engine Flexible. What factors should you consider? (Select 2)
You need to integrate a third-party SaaS solution with your GCP-based data pipeline for a BigQuery
project. You want to ensure data integrity and secure data transition. Which of the following would you
recommend?
Your application is experiencing high latency during the data write operations to a Cloud Spanner instance.
Which of the following would be a recommended approach to diagnose and possibly alleviate this issue?
For an upcoming project, you need to ensure data residency compliance in specific geographical
locations. How can you best configure Google Cloud services to meet this requirement?
For a mission-critical application that utilizes BigQuery for analytics, what would be the best practice to
ensure high availability and data durability?
You need to set up a CI/CD pipeline for a project stored in GitHub. The project uses a mixture of both
Google Cloud services and AWS services. You want to deploy updates automatically when new commits
are pushed to the main branch. Which Google Cloud service would you use?
You have a multi-regional GKE application and want to optimize latency for users around the globe.
However, you're concerned about costs and don't want to over-provision resources. What should you use
to balance the load and manage resources efficiently?
You have a set of encryption keys that you manage in Cloud KMS. You're concerned about the possibility
of the keys being deleted, either accidentally or maliciously. What feature should you enable to protect
against this?
Your application writes sensitive logs to Cloud Logging. You want to mask sensitive data in the logs before
they are stored. What is the most effective way to do this in GCP?
You are designing a data lake architecture in GCP for a healthcare provider. The data lake will store patient
records, medical images, and IoT data from medical equipment. The healthcare provider is also interested
in running machine learning models on this data. What is the most suitable GCP service for this data lake?
An e-commerce company wants to leverage machine learning to predict customer behavior and improve
sales. The company already has historical customer data and transaction logs in BigQuery. They need to
build, deploy, and scale ML models with minimal effort. What GCP service should they utilize?
You have been tasked with optimizing a legacy monolithic application running on a VM for cost. The
application experiences variable traffic and is essential only during office hours. What should you do to
optimize costs without refactoring the application?
As part of your organization's security requirements, you must implement a system where all
administrative accesses to Google Kubernetes Engine (GKE) must go through an approval workflow. How
should you implement this?
Your application requires you to store large amounts of semi-structured data. While the read operations
are frequent, write operations are infrequent. Cost optimization is a major factor for your team. Which
NoSQL database offering on GCP best suits your needs?
As a Cloud Architect, you have to ensure that your applications deployed on GCP are compliant with
regulatory requirements like GDPR. Which of the following services would you use to automatically
discover, classify, and protect sensitive data across GCP Services?
You're planning to deploy a stateful application that requires persistent disk storage with high IOPS. You
also need the flexibility to resize the disk without downtime. Which type of GCP Persistent Disk should you
recommend?
Your client needs to analyze streaming data for real-time business intelligence. The solution should also
integrate seamlessly with existing BigQuery datasets for combined analytics. Which GCP service will you
recommend for streaming data?
You need to design a globally distributed system that can handle millions of read and write operations per
second, and you also need strong consistency. Which GCP database service is suitable for this?
A media company is looking to set up a video-on-demand streaming service on GCP. The media files need
to be accessible globally, with minimal latency. What would be the most appropriate storage solution for
storing the media files?
Your healthcare application must store HIPAA-compliant data. Which combination of GCP services would
be most appropriate?
You are tasked with setting up a high-throughput data pipeline that ingests data from IoT devices. The
pipeline should also enable real-time analytics. Which set of GCP services would you recommend?
You are responsible for setting up a multi-region, disaster-recovery environment for a mission-critical
application. What is the best combination of GCP services and features to achieve this?
Your application has stringent data residency requirements. What should be taken into consideration when
selecting GCP services? (Select 2)
For estimating the costs of a new application in App Engine, what should be your approach?
A global media company has large datasets stored in GCP Cloud Storage. They need to run periodic data
transformations using Dataflow. However, they also want to minimize costs. Which combination of storage
classes and Dataflow configurations should they use?
You have to set up a real-time data analytics pipeline that captures event data, transforms it, and stores it
for query-heavy operations. The solution must also integrate with an existing Hadoop cluster. What
combination of GCP services would suit this best?
Your organization requires automated canary deployments in a multi-tenant GKE cluster where each team
has its own namespace. What is the best way to manage this process securely and efficiently?
You need to ensure idempotent deployments of your infrastructure in GCP. Which service allows you to
declaratively define your infrastructure and automatically handle dependencies, ensuring that resources
are created or modified in the correct order?
You want to be alerted whenever the cost of Cloud Spanner operations in your GCP project exceeds a
certain threshold within a 24-hour window. What's the most efficient way to do this?
You're running a stateful application within a Managed Instance Group. You want to replace instances but
keep the attached disks and IPs. What should you do?
You have a GKE cluster running with Confidential VMs to handle sensitive workloads. How would you
ensure that the Kubernetes agent also maintains the confidentiality of sensitive data?
You want to deploy a machine learning model in a GKE cluster. The model needs to be updated daily with
minimal service disruption. What GKE feature should you use to accomplish this?
You are migrating a monolithic application to a set of microservices running on GKE. One of the
challenges is managing multiple databases in the most efficient way. You are considering using Cloud
SQL. What should you keep in mind for the most efficient utilization?
You have to architect an internal-only financial trading platform that requires low-latency and
high-throughput data analytics. You also have a requirement to integrate with BigQuery for real-time
analytics and Cloud Storage for historical data. Which GCP services and configurations would you choose
for internal routing and analytics processing in this case?
Your organization has data pipelines that require both batch and stream processing. The pipelines should
be capable of integrating with machine learning models for predictive analytics. Which combination of
GCP services should be used to design a scalable and flexible data pipeline?
A media company needs to transcode video files that are uploaded by users. The company wants to use
GCP for this task. The system should be able to scale based on the number of files uploaded, and it also
needs to integrate with an existing machine learning model for content moderation. Which combination of
GCP services should be used?
Your organization wants to adopt the practice of infrastructure as code. You need to assign roles to a
DevOps team so they can manage both Compute Engine VM instances and Cloud Deployment Manager
deployments. What is the best combination of roles for this purpose?
A media company is looking to build a secure, reliable, and scalable video-on-demand service. Which
combination of GCP services should be considered for storing large video files and distributing them
globally?
You need to create a backup solution that not only stores database backups but also allows for quick
restores and has built-in versioning. What GCP services will allow you to achieve this?
You are responsible for setting up a DevOps pipeline in GCP for a microservices architecture. What
combination of tools would be the most efficient for this task?
Your organization has a requirement to keep audit logs for all data accesses and modifications for
compliance purposes. This is across multiple GCP services like Cloud Storage, BigQuery, and Compute
Engine. What would be the best approach to meet this requirement?
A multinational company is looking to expand its operations and needs to connect its different
geographical locations to its VPC in GCP. What are the considerations for using Cloud Interconnect in this
scenario?
You're tasked with storing millions of files that will be frequently accessed by Cloud Functions. What
storage architecture should you use?
You need to migrate an existing application to GCP. The application has a message queue and a SQL
database. How should you approach this migration to ensure minimal downtime?
You are developing a fraud detection system that requires real-time analysis and you need to maintain the
order of events. Which GCP service should you use?
Which of the following GCP services can be used to programmatically interact with the resource hierarchy,
including creating and managing Google Cloud projects?
Which GCP service would you recommend for a globally distributed, high-volume OLAP workload?
You are responsible for ensuring high availability for a critical application running in a GKE cluster spread
across multiple zones. Which of the following should you consider for managing the control plane?
You want to build a CI/CD pipeline in GCP that builds Docker images, deploys them to GKE, and also uses
Secrets for sensitive information. Which services should you use to fulfill all these requirements in a GCP
idiomatic way?
You need to run a VM that is compliant with regulatory requirements like GDPR and HIPAA. Which type of
VM should you use?
You've been asked to implement a solution to analyze historical data as well as real-time data. Which
BigQuery features can be used to effectively analyze both types of data? (select 2)
A financial organization needs to set up a secure, low-latency API gateway that can handle high levels of
traffic and integrate with existing microservices. Which GCP services should you recommend for meeting
these requirements?
Your organization wishes to set up a geographically distributed database that supports horizontal scaling
and strong consistency. Which database service should you recommend?
You need to monitor, troubleshoot, and improve application performance in a complex microservices
architecture. Which GCP service should you primarily consider for distributed tracing and monitoring?
As part of your organization's move to Google Cloud, you are responsible for choosing the correct
compute option for different workloads. Which compute option would be best suited for stateful
applications?
A financial institution wants to securely store sensitive customer data while still being able to perform
analytics on the data. What GCP service should be considered?
For a Machine Learning project, you want to run your TensorFlow models with minimal operational
overhead and automatic resource provisioning. The model should also be able to serve real-time
predictions. Which GCP service should you use?
Your Compute Engine instances run critical batch jobs at the end of each month. You want to ensure that
there is no preventive maintenance or any other activity that could cause downtime during these jobs.
What feature should you enable?
You need to set up a CI/CD pipeline for a multi-cloud environment, and the code repository is on GitHub.
What combination of GCP services and tools would be the best fit for setting up this CI/CD pipeline?
You have multiple services running in a GKE cluster, and you want to securely manage API calls between
these services. What combination of GCP services and features should you use?
You have sensitive data stored in Google Cloud Storage and want to enable additional layers of access
control beyond basic IAM. Which feature should you use?
Your organization wants to perform sentiment analysis on customer feedback data. This data is in multiple
languages and is stored in various formats. What GCP service should you use to ingest, transform, and
analyze this data effectively?
As a Cloud Architect, you have been asked to implement a robust backup strategy for an application's data
stored in Google Cloud Storage. You are required to ensure that the data is geographically isolated and
can withstand the loss of an entire region. What would be the best configuration?
Your company is globally distributed, and you need a globally available database with strong consistency.
Additionally, you have a requirement for granular IAM permissions at the database level. Which GCP
service would you recommend?
As a Cloud Architect, you are tasked with migrating a monolithic application to GCP and breaking it down
into microservices. Which combination of GCP services and tools would you use for effective migration
and transformation?
You want to build a robust data lake that integrates well with various data science and analytics tools. You
also need to enforce fine-grained access control. Which GCP service should you choose?
You are responsible for ensuring high availability and disaster recovery for an application running on GCP.
The application's backend is heavily reliant on a NoSQL database. What would be your recommendations
for achieving these requirements?
Your organization is developing a machine learning model that requires data preprocessing. The raw data
is stored in BigQuery, and the organization wants to use TensorFlow for ML. Which GCP services should
be used for the preprocessing and ML tasks?
Your team wants to utilize GCP for real-time analytics and machine learning on a data stream that includes
video and text. Which set of GCP services would you use to ingest, process, analyze, and apply machine
learning models to this heterogeneous data?
You want to implement a real-time analytics dashboard for monitoring IoT device data. The solution must
be fully managed and scale automatically. What would you use?
You are tasked with setting up a disaster recovery strategy for a mission-critical application. The RTO is 4
hours, and RPO is 15 minutes. Which GCP service is most suited for this?
Your organization is planning to host a global event and expects a significant spike in web traffic. Which
GCP service can automatically adjust the number of VM instances based on HTTP load, including SSL
offloading?
You need to set up a highly available and fault-tolerant architecture for a mission-critical application. You
decide to use Compute Engine instances in multiple regions. How would you manage the traffic routing for
optimal latency?
A team in your organization wants to analyze vast amounts of raw data stored in Google Cloud Storage
with SQL queries. They need results quickly and wish to avoid the operational overhead of managing a
database. Which service should you recommend?
You are tasked to provide a solution for storing and analyzing petabytes of historical financial transaction
data. The data needs to be queried using SQL, and the solution should be serverless. What GCP service
would you recommend?
In a GCP Dataflow job, you notice that a specific ParDo operation is taking a considerable amount of time,
causing a bottleneck. Which strategy could effectively alleviate this issue?
As a cloud architect, you have to secure access to Cloud Storage buckets. The client demands that only
devices enrolled in their Endpoint Management solution should have access. What should you do?
You are architecting a cloud solution for a financial firm where the application should be able to handle
thousands of financial transactions per second with single-digit millisecond latency. Which GCP database
service would be most suitable for this requirement?
You are designing a cloud-native application that needs to execute batch processing jobs which could run
for several hours. These jobs must be fault-tolerant and recover gracefully from failures. What is the most
suitable GCP service to use for these batch processing jobs?
Your company is developing a serverless application that triggers based on events in Google Cloud
Storage. The application should be able to handle thousands of events per second and has a variable load.
Which service would be the most appropriate to use?
You need to build a service to extract text from millions of images stored in Google Cloud Storage. The
extracted text will be analyzed for sentiment and stored in BigQuery for further analysis. What combination
of GCP services would accomplish this in the most efficient manner?
You are in charge of deploying a globally distributed, stateful application that needs strong consistency
and automatic failover. Which GCP service can be best utilized to meet these requirements?
You need to transfer large datasets from an on-premises data center to Google Cloud. The transfer should
be secure, resilient, and fast. Which service would you recommend?
Your organization has strict data residency requirements and wants to employ GCP services for storing
sensitive information. Which combination would best suit the need?
A machine learning startup needs to build and deploy custom machine learning models on GCP. They
require a managed service that supports both training and inference. Which GCP service should they
choose?
Your organization is running a machine learning workload on GCP and needs a service for scalable
training and deployment of models. Additionally, you require built-in support for TensorFlow and PyTorch.
Which GCP service should you choose?
Your team is building a microservices-based application on GCP, and you need to implement
service-to-service communication securely and efficiently. What GCP service can you use to manage this
communication while following best practices?
Your team is building a microservices-based application on GCP, and you need to implement
service-to-service communication securely and efficiently. What GCP service can you use to manage this
communication while following best practices?
Your team is building a microservices-based application on GCP, and you need to implement
service-to-service communication efficiently. What GCP service can you use to manage this
communication while following best practices?
Your company is planning to migrate its on-premises data center to Google Cloud. The company has a
requirement for a fully managed file storage service that can be used by multiple virtual machines. Which
Google Cloud storage service should you recommend for this scenario?
Your organization needs to ensure data durability and long-term storage of critical business documents in
Google Cloud. Which Google Cloud storage service is designed for long-term archival storage and is
cost-effective for this purpose?
Your organization is working on a data analytics project that involves processing large volumes of
structured data from various sources. You want to use Google Cloud services to build a scalable and
cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
transformation, and loading (ETL) in this project?
Your team is developing a web application that needs to provide real-time chat functionality. You want to
leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
way. What Google Cloud service should you use for this purpose?
Your organization is working on a data analytics project that involves processing large volumes of
structured data from various sources. You want to use Google Cloud services to build a scalable and
cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
transformation, and loading (ETL) in this project?
Your organization is working on a data analytics project that involves processing large volumes of
structured data from various sources. You want to use Google Cloud services to build a scalable and
cost-effective data pipeline. What Google Cloud service can you leverage for data ingestion,
transformation, and loading (ETL) in this project?
An online marketing company wants to migrate a local data warehouse to GCP. They want to use a
managed cloud solution. As a Cloud Architect, you advise them on which service they should use. What
do you recommend?
Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
run critical workloads and need to maintain their existing IP addresses during migration. What Google
Cloud feature should you use to achieve this goal?
A company wants to implement fine-grained access control and permissions management for its Google
Cloud resources. They need to assign specific permissions to users based on their roles within the
organization. What Google Cloud service should they use to achieve this?
Your application has a global user base, and you need to minimize latency. What should you implement?
Your organization wants to implement a zero-trust security model on GCP. What combination of services
should you configure to meet this requirement?
Your application utilizes Cloud Spanner for its database needs. You want to optimize costs while
maintaining high availability. Which configuration would best meet these needs?
You want to implement an auto-scaling, fault-tolerant microservices architecture. You also need to collect
logs and metrics. What combination of GCP services would you choose?
Your GKE cluster is running multiple microservices. You want to trace the latency of incoming HTTP
requests. Which service should you use?
You want to ensure that instances in your Managed Instance Group are evenly distributed across multiple
zones in the same region for high availability. What should you configure?
A business-critical application deployed on App Engine Flexible environment experiences high latency
during peak hours. You've been tasked with optimizing the application. Which of the following App Engine
capabilities would you leverage to minimize latency? (Select 2)
Your organization is using Cloud Spanner for its transactional data. You want to ensure that you have the
highest possible read and write throughput. What should you consider optimizing? (Choose 2)
You are implementing a data analytics pipeline in GCP. The incoming data is both batch and real-time.
Which combination of GCP services should you use to ingest, process, and analyze this data efficiently?
You're designing a Data Lake on GCP to store both structured and unstructured data. This Data Lake will
be used for both streaming analytics and machine learning. Which storage solution would be best suited
for this requirement?
You have an application running on GKE that needs to securely access a Redis instance. What would be
the best way to securely connect to the Redis instance while ensuring low latency?
Your company processes high volumes of streaming data. You need to perform real-time analytics and
then store the data for further analysis. The solution should be fully managed and able to scale
automatically. Which combination of Google Cloud services would best meet these requirements?
Your organization has multiple projects on GCP, and you want to ensure consistent policy enforcement
across all the GKE clusters in these projects. What should you use to centrally manage policies?
You're using BigQuery, and you want to ensure that data loaded into it is encrypted. What encryption
methods are available for data loaded into BigQuery? (Select 2)
You are responsible for ensuring that all VM instances spun up in your project are compliant with your
organization's security baseline. What is the best approach to automate this verification?
A game development company is looking to build a globally distributed multiplayer online game. They
need a real-time database that allows for easy and fast querying, supports complex hierarchical data
models, and is scalable. Which GCP service would you recommend?
You are tasked with setting up a high-availability, disaster-recovery solution for a globally distributed
application. This application has strict latency requirements and needs to comply with data sovereignty
laws in various countries. Which of the following GCP services will help you in this context?
Your organization is migrating a data-intensive workload to GCP. You need to move several petabytes of
data, and you want the transfer to be as fast as possible. Which service should you use?
Your application uses Cloud Functions to process images uploaded to Cloud Storage. You've observed
that as the volume of uploads increases, your Cloud Functions are timing out. What should you do to fix
the issue?
Your company has a requirement to maintain the state of infrastructure so that it can be easily replicated
across different environments. Your team is already familiar with Terraform. Which GCP service will help
you meet this requirement most effectively?
You're managing a large-scale IoT application on Google Cloud. The application should ingest data from
millions of IoT devices and perform real-time analytics. Which combination of services should you use for
the most efficient real-time analytics?
You're designing a system to store large volumes of unstructured data where cost-efficiency, durability,
and high availability are primary concerns. The solution must also support different storage classes for
archiving. Which GCP service should you recommend?
A financial services company wants to build a highly available application that needs strict global
consistency for transactions. Which GCP database service would you recommend?
Your organization is developing a mobile app and requires a database that offers offline sync capability
and real-time updates. Which GCP database service would you recommend?
Your team is developing a data analytics platform in GCP. The team needs to ensure real-time analytics and
long-term storage of data that will come from various sources. What is the most cost-effective storage
solution for this use case?
To minimize costs for sporadic, large data uploads from an on-premises data center to GCP, which service
would be most effective?
A multi-tier application needs to be migrated to GCP. The frontend is stateless but the backend is stateful.
What is the most cost-effective combination of services to achieve this?
You are tasked with building a data pipeline that ingests data from multiple sources including databases
and IoT devices. The data must be processed in real-time and be highly available. What combination of
GCP services should you recommend?
Your organization wants to enforce fine-grained IAM policies for accessing various GCP services. What
should you consider? (Select 3)
You have a multi-regional storage bucket storing PII (Personally Identifiable Information). Your compliance
team mandates the recording of all operations on this bucket. What would be your approach?
A healthcare application storing sensitive data needs to implement a disaster recovery strategy that
ensures data integrity and availability with RPO < 1 hour and RTO < 4 hours. Which GCP services should
you recommend to meet these objectives?
Your organization has a multi-tier web application that is composed of web servers, application servers,
and a relational database. The application must be resilient to regional failures. Which GCP architectural
approach should be taken?
When using Istio in a GKE cluster, which of the following can be achieved to manage traffic routing for a
set of microservices that span multiple namespaces?
A company wants to use Infrastructure as Code (IaC. to automate firewall rule deployments and integrate
this with a CI/CD pipeline for automatic testing and deployment. What combination of tools/services would
you recommend?
Your team is managing a GCP project that uses a mix of Compute Engine, Cloud Storage, and BigQuery.
You want to get daily granular reports on the costs for each service. What should you do?
Your application has a strict compliance requirement that prohibits public IP addresses for any instances.
How would you enforce this for all instances in a Managed Instance Group?
You are running a GKE cluster with both Linux and Windows node pools. You want to ensure that Linux
workloads are not scheduled on Windows nodes. What should you do?
You have a multi-regional GKE cluster, and you need to deploy a stateful application that requires
low-latency access to data from any region. What is the most suitable database service to use on GCP?
Your application deployed in GKE has started experiencing latency issues. You have identified the need to
add a caching layer. What is the most cost-effective yet high-performance caching solution that also
supports data eviction policies?
Your organization is building a multi-region, content-rich web application. The requirement is to route
HTTP/HTTPS traffic based on content and the geographical location of the client. Additionally, you need to
mitigate DDoS attacks. What GCP services should you combine to accomplish this?
You have to deploy a fault-tolerant, multi-tier web application that includes a front-end, an API layer, and a
back-end database. The organization also has stringent data encryption requirements. Which combination
of GCP services would you recommend for a secure, fault-tolerant architecture?
Your organization has a containerized application that requires granular control over networking policies,
as well as integration with a private Docker registry. Which GCP service would be most appropriate, and
what additional service would you use for the private Docker registry?
You're designing an application that will be deployed in GCP. You want to follow the principle of least
privilege while also allowing a DevOps team to manage Compute Engine instances. Which role should be
assigned?
A company has a legacy application running on virtual machines (VMs) in its on-premises data center. The
company wants to lift and shift this application to Google Cloud with minimal changes. Which GCP service
would you recommend for this use case?
Your organization wants to develop a robust CI/CD pipeline that includes building Docker images, running
automated tests, and deploying to a container orchestration service. Which combination of GCP services
will best serve these needs?
For a newly deployed web application, you need to automatically scale resources based on HTTP load and
minimize latency for global users. Which services would you leverage?
A multi-tier application is deployed across multiple GCP projects for segregation of duties. The database
layer resides in a private project. How do you securely expose this database to applications in other
projects?
Your application deployed in GCP needs to connect to an on-premises data center for data
synchronization. The organization prioritizes data privacy and does not want the traffic to pass through the
public internet. What option would best suit this requirement?
You have to design a disaster recovery plan for an application running on GCE and using Cloud Spanner.
What is the most effective way to minimize RTO and RPO?
Your application has a global audience and needs to deliver large media files with the lowest latency. What
GCP services should you leverage?
You need to build a serverless, event-driven architecture for processing image uploads in your application.
Which GCP services should you use?
You are using GCP services across multiple projects. You want to ensure that only the security team can
modify VPC settings. Where should you set this IAM policy for maximum efficiency and control?
You are designing a hybrid cloud architecture that requires high availability. Which pair of services would
be ideal for implementing a reliable messaging queue and a hybrid identity solution?
You want to deploy a stateful application on GKE that requires both read and write access to a persistent
disk. What is the recommended storage solution to meet this requirement?
You have multiple services that need to access a common configuration. The configuration should be
centralized, and changes should be propagated in real-time. What GCP service would you use?
You want to implement live migration for your VM instances to achieve higher availability. Which of the
following VM types support live migration in GCP?
You need to perform real-time analytics on streaming data using BigQuery. Which of the following options
would you consider for this requirement?
Your company wants to develop a machine learning model that predicts equipment failures based on
historical and real-time data. What combination of GCP services would be most appropriate for gathering
data, training the model, and serving predictions?
You need to design a reliable messaging system between various microservices that are part of a larger
e-commerce application. The system should be able to handle massive spikes in load. What service should
you employ?
You are asked to implement a highly available, fault-tolerant storage solution that can also serve as a
NoSQL database for a mobile application. Which GCP product should you use?
You want to stream data from various IoT devices to Google Cloud for real-time analytics. Which
combination of GCP services would best serve this requirement?
You are designing a multi-tenant application where tenant data must be isolated. Which GCP database
solution allows you to implement row-level security?
You are tasked to design a globally distributed, low-latency database system that also supports SQL-like
queries for an application. Which GCP database service would you use, and what would you enable to
meet the low-latency requirement?
Your application runs on Compute Engine instances and requires extremely low-latency access to your
data. The data should also be durable and easily accessible from any instance. Which GCP storage option
would you recommend?
Your company is planning to deploy a new microservices-based application on GCP. The developers prefer
using a managed Kubernetes service for this. Which GCP service would you recommend, and what
features should you leverage for cost optimization and automated operations?
Which of the following is not a feature of Google's Cloud Armor?
For a real-time analytics application that consumes streaming data, which GCP service would be best
suited for ingesting and processing large volumes of events per second?
A media company has its video content spread across various GCP storage solutions. They are looking for
a highly available, low-latency solution to serve video to global audiences. Which GCP service would be
most appropriate?
A global retail company wants to migrate its legacy databases to Google Cloud. The databases consist of
sales data, inventory, and customer profiles. The company wants a service that can automatically handle
sharding and is globally distributed for high availability. Which Google Cloud service should they use?
You need to set up a data pipeline that can handle both batch and real-time data, offering both streaming
and batch processing capabilities. The pipeline should also be able to write data to BigQuery. What's the
best GCP service to use for this purpose?
You need to set up a highly available, globally distributed database that supports ACID transactions for an
e-commerce application. Which GCP service should you use?
Your company is developing a video streaming service. You need to transcode video files into multiple
formats and resolutions. Which GCP service would be best suited for this task?
You have been assigned to optimize an existing data pipeline. The pipeline ingests data from various
sources into a centralized repository. You must ensure high availability and low latency. What set of GCP
Services would best meet these needs?
You're designing a real-time analytics solution for an IoT application that expects high volumes of
incoming data. Which GCP services should be used for data ingestion and storage to ensure scalability
and low latency?
You are architecting a CI/CD pipeline that deploys applications into a Kubernetes cluster on GCP. The
pipeline should perform automated testing and only deploy if the tests pass. Which combination of GCP
services should you use?
Your company has a requirement to archive data for compliance, with retrieval times less than a few hours.
Which GCP storage solution should you choose?
You need to ensure that your deployed microservices in a GKE cluster are only accessible via HTTPS.
Which feature should you implement?
For an e-commerce application, you have to implement a caching mechanism to reduce database load.
Which GCP service would you use for caching, considering the data to be cached is key-value pairs and
should be globally distributed?
Your company's Data Science team has been using a custom Apache Beam pipeline for stream
processing. They now want to migrate this to a managed GCP service without modifying the code. Which
service should you recommend?
You're working on a financial application that requires extremely low-latency data retrieval. Which Google
Cloud storage option would be most appropriate for this kind of workload?
Your organization is deploying a multi-tier web application on GCP. You need to ensure that only
authorized internal users can access the application's admin panel. Which GCP service would you utilize
for this purpose?
You need to implement a secure and automated way for your on-premises applications to access Google
Cloud resources. Which GCP service allows you to realize this?
You need to design a solution for running a set of Docker containers that should be auto-scaled and
load-balanced. Which GCP service would you use to manage this requirement with minimal operational
overhead?
For a newly developed serverless application, you are looking to integrate a fully managed NoSQL
database service that provides seamless scaling and global replication. Which GCP service should you
choose?
A multinational company wants to deploy a low-latency, high-throughput data processing solution that
synchronizes data across their global branches. They also have strict regulatory requirements for data
locality. What's the most suitable GCP service?
Your organization's application uses a variety of GCP services and is deployed across multiple regions.
You are required to set up a unified logging and monitoring solution. Which of the following approaches
will meet this requirement?
You're designing a large-scale data processing pipeline in GCP. You have streaming data that must be
analyzed in real-time, and you also have large batch datasets. You're looking for a unified programming
model for both cases. What GCP service would be the most appropriate for this?
Your organization requires a real-time analytics solution that can ingest data streams from various sources
like IoT devices and mobile apps. The solution should be able to scale automatically and support SQL-like
queries for analytics. Which GCP service should you recommend?
Your company has an application running on App Engine. They want to integrate machine learning models
and require minimal code changes. They also want the ability to version these models. Which service
would you recommend?
Your application requires a NoSQL database that can automatically scale, and you also need ACID
transactions support. What is the most appropriate GCP service?
A financial institution requires a secure and compliant way to archive financial transaction data on GCP.
Which GCP service provides a cost-effective and compliant solution for long-term data retention?
You want to deploy a highly available web application on GCP with automatic scaling based on traffic.
Additionally, you need to configure custom health checks and implement authentication and authorization.
Which GCP services should you use to achieve these requirements?
Your organization has multiple GCP projects, and you need to securely share resources, such as storage
buckets, across these projects. What is the recommended approach for achieving this?
Your company is developing a web application that requires real-time messaging and event-driven
functionality. Which Google Cloud service can you leverage to build scalable, event-driven applications
following best practices?
Your team is developing a web application that needs to provide real-time chat functionality. You want to
leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
way. What Google Cloud service should you use for this purpose?
Your team is developing a web application that needs to provide real-time chat functionality. You want to
leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
way. What Google Cloud service should you use for this purpose?
Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
run critical workloads and need to maintain their existing IP addresses during migration. What Google
Cloud feature should you use to achieve this goal?
Your team is developing a web application that needs to provide real-time chat functionality. You want to
leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
way. What Google Cloud service should you use for this purpose?
Your team is developing a web application that needs to provide real-time chat functionality. You want to
leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
way. What Google Cloud service should you use for this purpose?
As a Cloud Engineer, you set up the optimal combination of CPU and memory resources for nodes in a
Kubernetes cluster. You want to be notified whenever CPU utilization exceeds 80% for 5 minutes or when
memory utilization exceeds 90% for 1 minute. What do you need to do to receive such notifications?
You are responsible for managing a Google Kubernetes Engine (GKE) cluster that hosts multiple
microservices. You want to ensure that each microservice can securely access other Google Cloud
services, such as Cloud Storage and BigQuery. What should you configure to enable this access while
following Google's best practices?
Your team is building a high-availability application that requires data synchronization between multiple
Google Cloud regions. What Google Cloud service can you use to achieve low-latency data replication and
synchronization across regions?
You need to store sensitive customer data in compliance with stringent regulations. Which GCP service
and configurations would you choose?
You are tasked with ensuring data resiliency for a critical stateful application deployed on GKE. Which
storage and backup options will you use?
You are tasked with automating infrastructure as code in a GCP project. You want a service that integrates
seamlessly with GCP services and has native GCP support. Which service should you choose?
You are designing a serverless application using Cloud Functions, and you want to implement CI/CD.
What's the best way to build and deploy these functions?
How can you secure containerized applications in GKE against known vulnerabilities?
You need to set up a managed instance group with VM instances in multiple regions. What additional GCP
component should you consider for this requirement?
Your organization is using App Engine Flexible to host multiple services. You want to route incoming
traffic to different services based on URL paths. What GCP component should you utilize?
You are designing a Cloud Pub/Sub architecture for real-time event processing. You want to ensure
ordered delivery of messages. Which of the following approaches would you recommend?
For data archival, you are considering using Cloud Storage. Which storage class would you recommend
for long-term archival of rarely accessed data?
Your team is deploying a globally distributed, latency-sensitive microservices application on GCP. Which
combination of GCP services would best address the requirements of low-latency and global distribution?
Your organization has multiple departments, each requiring distinct permissions and resources on Google
Cloud. What is the most effective way to isolate resources while still allowing some shared access where
needed?
Your organization needs to set up a hybrid cloud for an application that requires both on-premises and
cloud resources. Compliance requires that certain data must not leave the physical location. Which Google
Cloud Services should you use to achieve this hybrid architecture?
You're using Istio on GKE to manage a microservices application. You need to enforce a policy where only
authorized services can communicate with each other within the cluster. What Istio feature should you
use?
Your organization wants to encrypt application-level data before sending it to Cloud Storage. Which of the
following methods should you use for the highest level of security, assuming you want to manage the
encryption keys yourself?
You want to ensure that no sensitive information is being stored in any of your Cloud Storage buckets.
Which GCP service would you use to periodically scan your buckets to check for compliance?
An e-commerce company has hybrid workloads running on-premises and Google Cloud. They want to
implement a centralized identity management system that integrates with their existing LDAP. Which GCP
service would you recommend for this?
You're responsible for setting up a CI/CD pipeline for a new project. You also need to ensure traceability for
compliance requirements. The application is hosted on GKE and utilizes multiple microservices. Which
GCP services would best serve these needs?
You are designing a multi-region disaster recovery strategy for your stateful application deployed on GKE.
The RPO and RTO metrics are stringent. What combination of GCP services and features would you
recommend?
You're tasked with designing a solution for a global e-commerce company that has high variations in
traffic. They want to optimize costs without sacrificing performance. They use a mix of managed VMs and
containers. What should you use for autoscaling?
You are designing a data ingestion pipeline that must accommodate a variety of data formats including
Avro, Parquet, and JSON. The pipeline must also perform transformations such as filtering and
aggregation. Which GCP service should you use?
You're designing a CI/CD pipeline in Google Cloud that requires ephemeral environments for testing each
build. What approach would be best for dynamically provisioning and de-provisioning these
environments?
Your organization requires real-time analytics on streaming data. The data needs to be ingested,
processed, and analyzed with low latency. You also require integrated windowing and watermarking
capabilities. Which Google Cloud service best fits these requirements?
You are designing a data lake architecture where the requirement is to ingest and store both structured
and unstructured data at scale. Which GCP service would you recommend for long-term storage of this
data?
You have a real-time analytics application that needs to process data from various streaming sources and
later query it. Which combination of GCP services should you use for data ingestion, processing, and
querying?
You are tasked with improving the logging capabilities of a multi-tenant SaaS application. This application
requires a granular view of logs for debugging, monitoring, and auditing. Which GCP service should you
use?
For regulatory compliance, you need an audit trail for GCP resource access and the ability to analyze these
logs. What combination of services would you use?
A healthcare application requires a robust messaging system for real-time status updates. The system
must also store historical changes for audit purposes. What would be your recommendation?
Your company wants to implement a CI/CD pipeline that involves containerization, source code scanning,
and automated deployments. What combination of GCP services and features should you consider?
Regarding CI/CD in GCP, which of the following statements are true? (Select all that apply)
You want to receive a message on your mobile device each time your Database Administrator logs into a
Firebase database, while minimizing effort. What GCP service will best achieve this?
Your team has to implement a real-time analytics dashboard for a high-traffic web application. The
dashboard must be capable of handling millions of events per second and allow for real-time data
querying. Which combination of GCP services would be most suitable for this?
A DevOps team needs to deploy a CI/CD pipeline that involves running integration tests on Kubernetes
clusters, storing build artifacts, and also leveraging secret management. What combination of GCP
services would best address this scenario?
How can you ensure that a particular set of GKE nodes only runs Pods requiring GPU resources, while
also isolating those Pods into a specific namespace?
You want to automate GCP resource creation for different departments with varying permissions, using
IaC. Which service allows you to define templates with built-in role-based access controls that can be
reused across departments?
Your application running on GKE requires shared persistent storage accessible by multiple pods. What is
the most appropriate GCP service to use for this requirement?
You are building a real-time analytics dashboard using GCP services. The data comes from various IoT
devices and must be ingested, processed, and made available for query in real-time. Which combination of
GCP services should you use?
You are architecting a solution that involves microservices communicating via gRPC. The microservices
are containerized and require service mesh capabilities for traffic routing, policy enforcement, and
telemetry. What combination of GCP products and configurations should be used to fulfill these
requirements?
You are designing a real-time analytics dashboard for a global e-commerce website. The dashboard must
update in real-time and should be capable of handling large query loads without impacting the underlying
data storage. Which combination of GCP services and features would you recommend?
You're tasked with implementing a real-time analytics solution for a global e-commerce company. The
system must be able to process both batch and stream data efficiently. What combination of GCP services
should you use to meet these requirements?
A Data Science team needs to access BigQuery and TensorFlow but should not be able to modify IAM
settings. Which combination of predefined roles would you assign to the Data Science team to enforce the
least privilege principle?
You are working on a data analytics project that requires real-time processing of streaming data from IoT
devices. What GCP services would you use for real-time data ingestion, transformation, and analysis?
You are designing a Disaster Recovery (DR) plan for an organization that currently relies heavily on
Dedicated Interconnect for its daily operations. Which of the following options would you consider as a
failover strategy to ensure uninterrupted data flow in the case of an unplanned outage?
You're designing a real-time analytics solution for a global retail chain, and your primary concern is
low-latency processing and analytics. Which combination of GCP services would best serve your needs?
You are tasked with implementing a video processing pipeline that can automatically scale based on the
number of video uploads. What combination of GCP services should you use?
You have a globally distributed application that must perform real-time analytics on incoming data. What
combination of GCP services should you use?
You have set a folder-level IAM policy that grants a user the roles/storage.admin role. You then set a
project-level IAM policy that denies the user the roles/storage.admin role. What is the effective IAM role for
that user in that project?
Your organization uses multiple GCP services and is concerned about data exfiltration. You are tasked to
enforce VPC Service Controls. Which of the following services are NOT supported by VPC Service
Controls?
You are tasked with monitoring system metrics, application logs, and tracing information for a complex
application running in GKE. What is the best approach to centralize this information?
You have an application that uses Cloud Firestore for its database. You need to perform complex queries
and aggregations that are not supported natively by Firestore. What is the most efficient way to
accomplish this?
In a GCP architecture, you need to launch VMs that have a specific CPU architecture for a short duration.
What type of VMs should you consider using?
You are migrating a large dataset to BigQuery and are concerned about storage costs. What features could
you use to minimize the storage costs? (Select 2)
You are tasked to implement a real-time analytics solution for a global e-commerce platform that must be
able to handle large volumes of incoming data and deliver insights with minimal latency. Which
combination of GCP services would be ideal for this use case?
You need to migrate an on-premise Hadoop cluster to GCP with minimal disruption. The migrated data
should be easily queried and integrated with GCP analytics services. What should you do?
You have a multi-region deployment in Google Cloud and want to minimize latency for end-users
accessing your services. Which GCP product would best serve this need?
You are tasked with running machine learning models on a large dataset. You need to select a suitable
GCP service that allows you to use custom machine types and also take advantage of TPUs. What should
you choose?
Select one false statement about App Engine
A company has a multi-tier web application deployed in GCP. They are looking to automate the deployment
process with version control. The application contains Compute Engine instances, a Cloud SQL database,
and uses Pub/Sub for messaging. What GCP services should they consider using to meet these
requirements?
You have several Compute Engine instances that need to access a Cloud SQL database. For security
reasons, you want to ensure that the data in transit is encrypted and that only authorized Compute Engine
instances can access the database. Which combination of GCP services and features would you employ?
You are a Cloud Architect designing a real-time streaming analytics system using Pub/Sub, Dataflow, and
Bigtable. The system must be resilient to zone failures. How should you architect this solution?
When using Cloud Spanner, which of the following is not an advisable way to ensure optimal
performance?
You are responsible for setting up a secure, fault-tolerant VPN connection between on-premises and GCP.
What would be the best approach to achieve this?
As a Cloud Architect, you are tasked with setting up a secure data pipeline for real-time analytics. Your
organization demands the pipeline to be fault-tolerant, and it must have end-to-end encryption. Which GCP
services would be the most appropriate to build this pipeline?
You are a cloud architect for a real-time financial analytics firm. The application needs to make real-time
decisions based on data from various sources. The data is critical and must be encrypted at rest and in
transit. Which GCP service is most appropriate for this use case?
You have several microservices running on GKE. You need to minimize latency and enable a caching layer.
You also require analytics capabilities for API traffic. What would be the best approach?
You have an application that processes large datasets and requires low-latency responses. The application
has a microservices architecture. Which GCP services should you leverage for orchestrating these
microservices in a cost-effective manner?
You are asked to design a global transactional database that can automatically scale in response to
application traffic. The database should also provide backup capabilities to handle unforeseen data loss.
Which GCP service should you recommend?
Your company is deploying an AI-driven chatbot for customer service. The chatbot must interact with a
CRM system, be scalable, and must support complex conversational workflows. What GCP services would
best fit these requirements?
Your organization has a set of microservices that need to communicate securely and efficiently. The
services are containerized. You're tasked with selecting the most appropriate GCP service for deploying
these microservices. What should you choose?
You have been tasked with setting up an automatic backup solution for your organization's GCP-based
MySQL database. You want to ensure that backups are securely encrypted, easily restorable, and support
point-in-time recovery. Which GCP service should you use?
You need to set up a globally-distributed database with strong transactional consistency for a critical
application. Which GCP service would you choose?
Your company has a strict data residency requirement. Your application deployed on GCP needs to store
data only in specific geographic regions. Which storage service would you choose?
Your organization has a compliance requirement to ensure all stored data is encrypted at rest. Which of the
following is NOT a suitable GCP storage solution for this requirement?
As a Cloud Architect, you want to automatically be alerted when the cost of a particular GCP project
approaches a set threshold. Additionally, you want this information to be sent to a Pub/Sub topic for
further processing. What should you do?
You are asked to develop a CI/CD pipeline that compiles code, runs tests, and deploys a containerized
application to a GKE cluster. Which GCP service would best serve this requirement?
You are asked to design a robust disaster recovery (DR) strategy for a mission-critical application hosted
on GCP. The requirement is to achieve an RTO (Recovery Time Objective) of less than 15 minutes. Which of
the following strategies would be most appropriate?
You are designing an application in GCP that has a microservices architecture. You have to ensure
low-latency communication between services while maintaining high availability. What would be the ideal
choice?
You are responsible for a large data analytics project where you'll be using BigQuery. The source data is in
Avro format stored in Google Cloud Storage. Your priority is to minimize the query cost. What should you
do?
You are in charge of optimizing a BigQuery workflow for a data analytics team. The team performs frequent
queries on a 500GB dataset. To improve performance and reduce costs, what would be the best practice?
You are tasked with the real-time analysis of incoming telemetry data from IoT devices. The data must be
ingested, processed, and then scored for machine learning. Which combination of Google Cloud services
should you employ to best fulfill these requirements?
A financial organization needs to transfer large amounts of sensitive data daily from their on-premises
servers to GCP. They require a low-latency, high-throughput, and secure connection. What would be the
most suitable service for this requirement?
You want to leverage a managed NoSQL database on Google Cloud for your globally distributed
application. The database must support multi-region transactions with strong consistency. Which GCP
service would best meet your requirements?
You are tasked with creating a cost-effective, long-term data storage solution for an organization that
needs to store petabytes of archival data. The data must be encrypted and infrequently accessed. What
GCP storage solution would be most appropriate?
You are designing a globally distributed application that needs high availability and automatic failover. The
application's state must be preserved globally. Which GCP database service should you use?
You need to create a real-time analytics dashboard for streaming data ingested from various IoT devices.
Which combination of GCP services would provide the most effective solution?
A gaming company wants to implement a real-time leaderboard for its multiplayer game on GCP. Which
GCP service should they use to efficiently track player scores and rankings in real-time?
Your organization needs to store and analyze large datasets in GCP. You require a service that offers
managed, scalable storage and the ability to perform complex queries on the data. Which GCP service
should you choose?
You are a GCP cloud architect working on a project with multiple VPCs. Your team needs to establish
private connectivity between these VPCs without using external IPs. What should you recommend to meet
this requirement while following Google's best practices?
You are responsible for managing a complex multi-tier application in Google Cloud. The application
consists of multiple microservices running in Docker containers on Kubernetes Engine. You need to
ensure high availability and efficient scaling of these microservices. Which Google Cloud service should
you use to manage and orchestrate the containers effectively?
Your organization needs to securely store and manage sensitive API keys, database passwords, and other
credentials used by your applications in Google Cloud. What Google Cloud service should you use for this
purpose, following best practices?
Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
run critical workloads and need to maintain their existing IP addresses during migration. What Google
Cloud feature should you use to achieve this goal?
Your company's finance department has notified you that logs generated by a financial application will
need to be kept for five years. It is not likely to be accessed, but it has to be available if needed within three
days. How would you recommend storing that data?
Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
run critical workloads and need to maintain their existing IP addresses during migration. What Google
Cloud feature should you use to achieve this goal?
Your organization is planning to migrate its existing virtual machines (VMs) to Google Cloud. These VMs
run critical workloads and need to maintain their existing IP addresses during migration. What Google
Cloud feature should you use to achieve this goal?
Your company's finance department has notified you that logs generated by a financial application will
need to be kept for five years. It is not likely to be accessed, but it has to be available if needed within three
days. How would you recommend storing that data?
Your team is developing a web application that needs to provide real-time chat functionality. You want to
leverage a serverless service in Google Cloud to handle chat messages in a scalable and cost-effective
way. What Google Cloud service should you use for this purpose?
Your organization wants to optimize costs for running workloads on Google Cloud. You are tasked with
identifying idle or underutilized virtual machine (VM) instances. What Google Cloud service can help you
analyze VM instance utilization and identify cost-saving opportunities?
You are designing a data analytics pipeline that needs to handle unstructured, real-time data for immediate
analytics. What combination of services should you consider?
You need to set up a robust logging and monitoring solution for your GCP-based web application. What
combination of services should you employ for a comprehensive view of your system's health?
You need to set up a CI/CD pipeline in GCP that should be able to deploy applications to both App Engine
and GKE. Which service(s) will you use?
You are tasked to ensure data resiliency for an application using Cloud Spanner. Which of the following
strategies will guarantee global availability and protection against region-wide failures?
You want to enable fine-grained access control for applications running on your GKE cluster. Which of the
following GCP services should you integrate with GKE?
You're planning to run a batch processing job that requires a variable number of VM instances. Which GCP
service would be most appropriate to use in conjunction with MIGs?
You are implementing a multi-region disaster recovery strategy for a stateful application currently
deployed in App Engine Flexible. What GCP service should you include to ensure data consistency and
availability across regions?
You are tasked with ensuring high availability and disaster recovery for a mission-critical application
deployed on Google Kubernetes Engine (GKE). Which of the following would you implement? (Choose 2)
You are migrating a latency-sensitive application to GCP. The application uses a microservices
architecture. Which service should you use to manage API requests efficiently and why?
You are planning to integrate Cloud Monitoring and Cloud Logging for comprehensive observability of
your GCP resources. How should you minimize the cost associated with storing logs while ensuring the
logs are readily available for the last 30 days and archived thereafter?
A financial institution is planning to deploy a highly sensitive application on GCP. This application will
handle both credit card data and PII. What service and feature combination should be considered for data
encryption at rest and in transit?
You have a monolithic application running on VMs, and you want to modernize it by moving to a
container-based architecture. The application has dependencies on specific kernel versions. Which of the
following Google Cloud services would you use for a seamless migration and why?
Your GKE application requires data persistence. What would you do to ensure that the storage used by
your pods remains available even if the pods are rescheduled?
You are required to implement a security measure where you can audit who has accessed encryption keys
in your GCP project. Which GCP service provides this capability?
You have implemented multiple services using GCP's API Gateway and you want to monitor the API calls
for unauthorized or suspicious activity. Which GCP service should you use to accomplish this?
Your company is experiencing slowness in analytic queries and wants to optimize the cost of analytics in
Google Cloud. You are tasked with recommending a solution that would allow for cost-effective and fast
analytics on a petabyte-scale data. What should you recommend?
A financial institution requires a solution for securing its data at rest, in transit, and during processing. The
data includes both structured and unstructured formats. Which combination of GCP services would offer
the highest level of security?
Your organization wants to implement a Data Loss Prevention (DLP) strategy across Cloud Storage,
BigQuery, and Datastore. You also need to ensure real-time inspection of sensitive data. Which GCP
service should you use?
Your organization has applications that require high-throughput and low-latency data storage for a global
user base. Which database service would best fit these requirements while adhering to Google's best
practices?
Your organization wants to archive sensitive data in a GCP storage service with the minimum costs, and
access frequency is extremely low. The data must be encrypted at rest and adhere to HIPAA compliance
requirements. Which service would you choose?
Your organization needs to build a data lake that allows data analysts to query petabytes of data. The data
is semi-structured and will be in formats like Avro, JSON, and Parquet. Which GCP service would be the
best fit for this requirement?
As a Cloud Architect, you need to design a resilient storage solution for mission-critical applications
requiring both multi-regional availability and strong consistency. Which GCP service meets these
requirements while also providing seamless horizontal scaling?
Your organization wants to deploy a machine learning model in a scalable way to process incoming API
requests. The model should automatically scale with demand and have low latency. Which GCP service
best suits this requirement?
Your client requires a secure and automated way to manage configurations and secrets for a
microservices-based application running on Google Kubernetes Engine. Which GCP service would you
recommend?
What is the best combination of GCP services for transitioning a monolithic application to microservices
with efficient CI/CD, scalability, and monitoring capabilities?
For a financial application requiring a globally distributed, ACID-compliant database with low latency,
which GCP solution is most appropriate?
For a fintech company using GCP to achieve data redundancy across multiple regions while maintaining
low latency for an international user base, which combination of services is most effective?
What GCP services and features should be recommended for deploying a machine learning model that
needs to auto-scale based on traffic and integrate with BigQuery for real-time analytics?
When processing data in GCP, which three factors are crucial to consider?
For a microservices architecture deployment on GCP with easy rollback capabilities, which service is most
suitable?
What approach is recommended for migrating large sets of databases to GCP that require both high
availability and geographical distribution?
For an e-commerce application requiring low-latency object retrieval and high durability, with a need to
archive transactional data after 30 days, what is the optimal combination of storage classes and data
lifecycle policies?
What combination of GCP services and Kubernetes features best supports a CI/CD pipeline for
microservices deployed in a GKE cluster across multiple environments (Dev, Test, Prod) while ensuring
policy compliance?
For automating the deployment of a three-tier web application (Web, App, DB layers) on GCP using an IaC
approach, which combination of services and tools would you recommend?
For tracking cloud expenses across different departments and associating these costs with specific
business functions, what approach should be recommended?
To assign specific Compute Engine instances in your Managed Instance Group (MIG) for handling
read-heavy and write-heavy database queries, what would be the most effective method?
For a GKE cluster with Cloud SQL storing persistent data, what is the most suitable failover strategy to
meet disaster recovery objectives with RTO and RPO within minutes?
In managing a GKE cluster for a multi-tier application with separate frontend, backend, and data layers,
what is the best approach to ensure both logical separation and network policy enforcement?
How can you ensure data consistency while optimizing costs for running stateful batch jobs on GKE using
pre-emptible instances, especially when these jobs depend on a shared dataset?
For an e-commerce application running on GKE clusters in the US and Europe with Cloud CDN, what is the
best combination of GCP services to ensure seamless failover and low-latency access?
For containerized microservices requiring automated orchestration, built-in security, seamless CI/CD
integration, and native support for deploying machine learning models, which GCP compute service is
recommended?
To establish a robust, multi-regional database with strong consistency, SQL-like queries, and disaster
recovery capabilities, what GCP service and disaster recovery setup should be recommended to a fintech
company?
In a multi-tenant GCP project with resources grouped into separate folders, what is the appropriate IAM
role and assignment level for granting billing-related permissions to each tenant’s billing manager?
What combination of Google Cloud services is ideal for building a hybrid cloud solution that securely
connects on-premises systems to Google Cloud?
For building a real-time analytics system for IoT sensor data, which GCP services would be most effective
for scalable ingestion, storage, and real-time querying?
As a GCP Cloud Architect tasked with designing a robust, multi-regional data storage solution with
immediate consistency, which GCP service would you recommend?
To ensure compliance with data sovereignty regulations for a web application deployed on App Engine,
which approach ensures data is stored within a specific geographical region?
For implementing secure, high-speed data transfer with low latency between on-premises and GCP in a
hybrid cloud model, what combination of services and components is recommended?
For a multi-tenant SaaS application requiring SQL-based transactions, support for a global user base, and
stringent compliance requirements, which GCP database solution is most appropriate?
To manage several GCP projects within your organization, what is the best method to create a centralized
logging system for real-time log searching across all projects?
When implementing a microservices architecture on GCP, which services are best suited to ensure high
availability and durability by decoupling event producers from consumers?
What is the correct hierarchy for applying IAM policies in Google Cloud?
To store large-scale historical time-series data with efficient querying and CMEK encryption, what is the
most appropriate approach?
In designing a Kubernetes deployment using GKE that requires secure access to a Google Cloud SQL
instance, what is the recommended method for secure communication?
For setting up a real-time analytics solution in GCP to process high-velocity, high-volume event data and
compute aggregations, which services should you utilize for scalability and cost-effectiveness?
When designing an architecture that includes both stateful and stateless components, what types of VMs
and instance groups should you use for these components in GCP?
To design a cost-effective BigQuery solution for occasional querying with immediate data availability, what
pricing model and table type should you select?
In considering a hybrid cloud deployment, which GCP service should you recommend for secure and
high-performance connectivity between on-premise networks and Google Cloud?
What is the definition of availability in modern cloud architecture?
To build a data pipeline that ingests, transforms, and loads data into BigQuery for analytics, which
combination of GCP services would be the most efficient for both real-time and batch processing?
What is the most appropriate disaster recovery (DR) strategy for mission-critical applications on Compute
Engine with a Recovery Time Objective (RTO) of less than 10 minutes?
In a heavily regulated industry requiring data sovereignty, what combination of services and configurations
should be used to maintain compliance while effectively utilizing BigQuery for analytics?
Which statement about VPC Peering in Google Cloud is incorrect?
For building a highly available application on GCP with automatic failover and zero-downtime
deployments, which service is recommended?
For a large e-commerce platform requiring operational databases during regional outages and capable of
supporting millions of products with SQL compatibility, which GCP service is most suitable?
For a pharmaceutical research company requiring high computational power to run thousands of
simulations and calculations, which fully-managed service from Google Cloud is recommended?
Migrating a legacy application to GCP with strict compliance requirements for data encryption, both at rest
and in transit, what combination of services and features should be used?
For implementing a data analytics pipeline with real-time event streaming and batch processing, what
combination of GCP services should be used for a robust, scalable, and cost-effective solution?
To deploy an AI model for real-time predictions accessible via RESTful APIs and requiring auto-scaling
based on demand, which GCP service is the best choice?
For a multinational e-commerce company needing to analyze customer data with GDPR compliance, which
combination of GCP services is recommended for secure data analytics?
When architecting a hybrid cloud solution for an organization with strict compliance requirements,
needing encryption of data both in transit and at rest, which combination of GCP services and features
should be utilized?
For a shift to a microservices architecture on GCP, which orchestration solution should be chosen that is
fully managed, supports auto-scaling, and integrates with Cloud Monitoring?
In implementing a hybrid cloud strategy that connects an on-premises data center with Google Cloud,
which GCP product ensures seamless connectivity with low latency, high throughput, and enterprise-grade
security?
For a retail organization aiming to enhance customer engagement with personalized recommendations,
which combination of GCP services is best for analyzing user data and serving recommendations in
real-time?
When designing a fault-tolerant, globally distributed application that requires low-latency data access and
strong transactional consistency across regions, which database service is recommended?
As a GCP Cloud Architect, you are responsible for designing a system that handles data from a multitude
of IoT devices on Google Cloud. This data needs to be processed instantly for analytical purposes. What
combination of services is best suited for this task?
As a GCP Cloud Architect, your task is to design a scalable data pipeline that can handle high volumes of
incoming data and perform near-real-time analysis. Which set of GCP services would be the most effective
for this requirement?
As a GCP Cloud Architect, your objective is to optimize the expenses associated with a BigQuery setup,
which is used for complex analytical queries. What strategy would you adopt to reduce costs without
compromising on performance?
As a GCP Cloud Architect, you are responsible for creating a DR (Disaster Recovery) strategy for a
cloud-native application. Your goal is to achieve an RPO (Recovery Point Objective) of 15 minutes and an
RTO (Recovery Time Objective) of 1 hour. What GCP services combination is most suitable to meet these
objectives?
In managing IAM (Identity and Access Management) on GCP, how would you configure permissions to
prevent a developer from unintentionally deleting an important storage bucket, while still maintaining other
administrative rights over storage buckets?
As a Cloud Architect, you need to design a resilient system for handling streaming data, ensuring regional
failure resistance and a 7-day retention of streaming logs. What is the most suitable GCP architecture for
this purpose?
For a mission-critical, stateful application in your organization that demands strict consistency and high
availability across multiple zones within a region, which Google Cloud service is best suited for the
database layer?
When managing a globally distributed application that delivers both static and dynamic HTTP/HTTPS
content, which Google Cloud Load Balancer configuration is most effective for ensuring high availability
and low latency, particularly when a single IP address is needed for global routing?
For a large-scale financial institution deploying machine learning models on GCP for fraud detection, with
a stringent policy on data encryption at rest, in transit, and during ML computation, which GCP service or
combination of services best aligns with these requirements?
To establish a comprehensive data lake solution in GCP that handles batch and stream data ingestion, as
well as transformations and analytics with SQL-like queries, which set of GCP services should be utilized?
Following the migration of a monolithic application to a microservices architecture on GCP, which
combination of services should be employed to ensure high availability, fault tolerance, and the facilitation
of canary deployments?
For a multinational corporation seeking a scalable and cost-effective solution on GCP to store and analyze
large volumes of data, which service is most appropriate?
In designing a highly available GCP architecture for a worldwide e-commerce platform, which service is
optimal for balancing traffic effectively while ensuring low latency for both IPv4 and IPv6 clients?
When your development team needs to deploy a new instance in the europe-central2 region, requiring
access to an application on a Compute Engine instance in the us-west1 region within the same project,
what is the recommended approach following Google's best practices?
For deploying a new instance in the europe-central2 region that needs to access an application on a
Compute Engine instance in the us-west1 region within the same project, what is the recommended
practice according to Google's guidelines?
When your development team plans to set up a new instance in europe-central2 with access requirements
to an application on a Compute Engine instance in us-west1 within the same project, what would be the
advisable approach following Google's best practices?
As a Cloud Engineer aiming to manage CPU and memory resources efficiently in a Kubernetes cluster,
what should you configure to receive notifications if CPU usage exceeds 80% for 5 minutes or memory
usage goes over 90% for 1 minute?
To establish development, test, and production environments in Google Cloud for a project, while ensuring
consistency and adhering to Google's best practices, what is the recommended approach?
Given that the finance department requires logs from a financial application to be retained for five years,
rarely accessed but available within three days if needed, what is the most suitable storage
recommendation?
Your company's finance department requires long-term storage of logs from a financial application, with a
five-year retention period and accessibility within three days on demand. What storage method would you
recommend?
As a Cloud Architect, which machine type family should you RCommmd to use for AAA game servers?

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