Exam Details

  • Exam Code
    :PROFESSIONAL-CLOUD-ARCHITECT
  • Exam Name
    :Professional Cloud Architect on Google Cloud Platform
  • Certification
    :Google Certifications
  • Vendor
    :Google
  • Total Questions
    :277 Q&As
  • Last Updated
    :Jun 03, 2025

Google Google Certifications PROFESSIONAL-CLOUD-ARCHITECT Questions & Answers

  • Question 191:

    Dress4Win has end-to-end tests covering 100% of their endpoints.

    They want to ensure that the move to the cloud does not introduce any new bugs.

    Which additional testing methods should the developers employ to prevent an outage?

    A. They should enable Google Stackdriver Debugger on the application code to show errors in the code.

    B. They should add additional unit tests and production scale load tests on their cloud staging environment.

    C. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.

    D. They should add canary tests so developers can measure how much of an impact the new release causes to latency.

  • Question 192:

    Dress4Win has asked you for advice on how to migrate their on-premises MySQL deployment to the cloud. They want to minimize downtime and performance impact to their on-premises solution during the migration.

    Which approach should you recommend?

    A. Create a dump of the on-premises MySQL master server, and then shut it down, upload it to the cloud environment, and load into a new MySQL cluster.

    B. Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous replication from the MySQL master server on-premises until cutover.

    C. Create a new MySQL cluster in the cloud, configure applications to begin writing to both on premises and cloud MySQL masters, and destroy the original cluster at cutover.

    D. Create a dump of the MySQL replica server into the cloud environment, load it into: Google Cloud Datastore, and configure applications to read/write to Cloud Datastore at cutover.

  • Question 193:

    For this question, refer to the Dress4Win case study.

    Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy.

    What should they do?

    A. Install the Stackdriver agent on all of the legacy web servers.

    B. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule

    C. Configure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)

    D. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)

  • Question 194:

    As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load. They want to ensure that:

    1.

    The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day

    2.

    Their administrators are notified automatically when their application reports errors.

    3.

    They can filter their aggregated logs down in order to debug one piece of the application across many hosts Which Google StackDriver features should they use?

    A. Logging, Alerts, Insights, Debug

    B. Monitoring, Trace, Debug, Logging

    C. Monitoring, Logging, Alerts, Error Reporting

    D. Monitoring, Logging, Debug, Error Report

  • Question 195:

    Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?

    A. Identify self-contained applications with external dependencies as a first move to the cloud.

    B. Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.

    C. Suggest moving their in-house databases to the cloud and continue serving requests to on-premise applications.

    D. Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.

  • Question 196:

    At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files.

    The database files are compressed tar files stored in their current data center.

    How should he proceed?

    A. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.

    B. Create a cron script using gsutil to copy the files to a Regional Storage bucket.

    C. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.

    D. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

  • Question 197:

    Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

    A. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.

    B. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.

    C. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.

    D. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.

  • Question 198:

    For this question, refer to the TerramEarth case study. You are building a microservice-based application for TerramEarth. The application is based on Docker containers. You want to follow Google-recommended practices to build the application continuously and store the build artifacts. What should you do?

    A. Configure a trigger in Cloud Build for new source changes. Invoke Cloud Build to build container images for each microservice, and tag them using the code commit hash. Push the images to the Container Registry.

    B. Configure a trigger in Cloud Build for new source changes. The trigger invokes build jobs and build container images for the microservices. Tag the images with a version number, and push them to Cloud Storage.

    C. Create a Scheduler job to check the repo every minute. For any new change, invoke Cloud Build to build container images for the microservices. Tag the images using the current timestamp, and push them to the Container Registry.

    D. Configure a trigger in Cloud Build for new source changes. Invoke Cloud Build to build one container image, and tag the image with the label 'latest.' Push the image to the Container Registry.

  • Question 199:

    The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?

    A. Grant the operations engineer access to use Google Cloud Shell.

    B. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.

    C. Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.

    D. Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

  • Question 200:

    For this question, refer to the TerramEarth case study. You have broken down a legacy monolithic application into a few containerized RESTful microservices. You want to run those microservices on Cloud Run. You also want to make sure the services are highly available with low latency to your customers. What should you do?

    A. Deploy Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTTP(S) Load Balancing instance and attach the Cloud Endpoints to its backend.

    B. Deploy Cloud Run services to multiple regions. Create serverless network endpoint groups pointing to the services. Add the serverless NEGs to a backend service that is used by a global HTTP(S) Load Balancing instance.

    C. Deploy Cloud Run services to multiple regions. In Cloud DNS, create a latency-based DNS name that points to the services.

    D. Deploy Cloud Run services to multiple availability zones. Create a TCP/IP global load balancer. Add the Cloud Run Endpoints to its backend service.

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