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Google Professional-Cloud-Architect Practice Test Questions Answers

Exam Code: Professional-Cloud-Architect (Updated 277 Q&As with Explanation)
 Exam Name: Google Certified Professional - Cloud Architect (GCP)
 Last Update: 28-Jun-2025
 Demo:  Download Demo

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Questions Include:

  • Single Choice: 258 Q&A's
  • Multiple Choice: 19 Q&A's

    • Professional-Cloud-Architect Overview

    Google Professional-Cloud-Architect Exam Overview

    Overveiw Details
    Exam Name Google Cloud Certified Professional Cloud Architect
    Certification Earned Google Cloud Certified Professional Cloud Architect
    Target Audience Architects designing, developing, and managing scalable, reliable, and secure cloud solutions on Google Cloud Platform (GCP)
    Pre-requisites Experience in designing and managing cloud solutions, understanding of software development methodologies
    Number of Questions 50-60 multiple-choice and multiple-select questions
    Exam Length 120 minutes
    Passing Score Not publicly disclosed (pass/fail format based on achieving a certain threshold)
    Exam Cost $200 USD
    Delivery Format Proctored online or at a testing center
    Topics Covered

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    Google Professional-Cloud-Architect Exam Topics Breakdown

    Section Focus Weighting  
    Designing and planning a cloud solution architecture 24% 12-15
    Managing and provisioning a cloud solution infrastructure 15% 7-9
    Designing for security and compliance 18% 9-11
    Analyzing and optimizing technical and business processes 18% 9-11
    Managing implementation 11% 5-7
    Ensuring solution and operations reliability 14% 7-9

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    Professional-Cloud-Architect Questions and Answers

    Question # 1

    For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.

    What change in the on-premises architecture should you make?

    A.

    Replace RabbitMQ with Google Pub/Sub.

    B.

    Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.

    C.

    Resize compute resources to match predefined Compute Engine machine types.

    D.

    Containerize the micro services and host them in Google Kubernetes Engine.

    Question # 2

    For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

    A.

    Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.

    B.

    Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.

    C.

    Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

    D.

    Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.

    Question # 3

    For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

    A.

    Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.

    B.

    Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.

    C.

    Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.

    D.

    Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

    Question # 4

    For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is and would still be an optimized architecture for performance in the cloud?

    A.

    Web applications deployed using App Engine standard environment

    B.

    RabbitMQ deployed using an unmanaged instance group

    C.

    Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

    D.

    Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types

    Question # 5

    For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.

    What should you do?

    A.

    Use Stackdriver Trace to create a trace list analysis.

    B.

    Use Stackdriver Monitoring to create a dashboard on the project’s activity.

    C.

    Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

    D.

    Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.

    Free Professional-Cloud-Architect Google Exam Questions 6 to 25
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