Google Cloud Professional Architect Certification Exam Answers

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Google Cloud Professional Architect Certification Exam Answers


 

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.

What Makes Our Guide Stand Out?

Our guide is meticulously crafted with a focus on helping you prepare effectively for the Google Cloud Professional Architect Certification Exam. It’s not just any study material; it’s a compilation based on the real exam questions. This means you’re getting a taste of what to expect, reducing surprises on the exam day.

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.

Prepare Smarter, Not Harder: With a focus on real exam questions, our guide lets you prepare smarter. You spend your time efficiently by concentrating on the type of questions that matter most.

Why Trust Our Guide?

Our guide is not just a collection of questions; it’s a comprehensive tool designed to empower you with confidence and knowledge. Whether you’re a seasoned professional or new to Google Cloud, this guide caters to all levels of expertise. Its structured approach to presenting real exam questions, followed by answers and explanations, makes it a unique and powerful resource for your preparation journey.

Final Thoughts:

Embarking on the path to becoming a Google Cloud Professional Architect is a significant step in your career. With our “All-in-One Google Professional Cloud Architect Certification Exam Preparation Guide,” you’re not just preparing for an exam; you’re building a solid foundation for your future in the cloud technology realm. Invest in your success and make your certification journey smoother and more efficient. Prepare smarter and step confidently into your exam with our expertly crafted guide by your side.

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.

 

Some 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.

 

More certification answers in english: https://en.certificationanswers.com/exams-answers/

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€24.50

Google Cloud Professional Architect Certification Exam Answers

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I want this!