Free Professional Cloud DevOps Engineer Exam Questions and Answers

Last updated: September 6, 2026

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1. Question #1

   You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

   • A. Use Cloud Storage to cache intermediate artifacts.
   • B. Run multiple Jenkins agents to parallelize the build.
   • C. Use multiple smaller build steps to minimize execution time.
   • D. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.
   Reveal Answer

2. Question #2

   You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to-share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?

   • A. * 1. Export VM utilization logs from Stackdriver to BigOuery.* 2. Create a dashboard in Data Studio.* 3. Share the dashboard with your stakeholders.
   • B. * 1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.* 2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management
   • C. * 1. Export VM utilization logs (rom Stackdriver to BigQuery.* 2. From BigQuer
   • D. export the logs to a CSV file.* 3. Import the CSV file into Google Sheets.* 4. Build a dashboard in Google Sheets and share it with your stakeholders.
   Reveal Answer

3. Question #3

   You support a stateless web-based API that is deployed on a single Compute Engine instance in the europe-west2-a zone . The Service Level Indicator (SLI) for service availability is below the specified Service Level Objective (SLO). A postmortem has revealed that requests to the API regularly time out. The time outs are due to the API having a high number of requests and running out memory. You want to improve service availability. What should you do?

   • A. Change the specified SLO to match the measured SLI.
   • B. Move the service to higher-specification compute instances with more memory.
   • C. Set up additional service instances in other zones and load balance the traffic between all instances.
   • D. Set up additional service instances in other zones and use them as a failover in case the primary instance is unavailable.
   Reveal Answer

4. Question #4

   You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

   • A. Use the n1-highcpu-96 machine type in the configuration of the MIG.
   • B. Monitor results of Stackdriver Trace to determine the required amount of resources.
   • C. Validate that the resource requirements are within the available quota limits of each region.
   • D. Deploy the service in one region and use a global load balancer to route traffic to this region.
   Reveal Answer

5. Question #5

   You have an application running in Google Kubernetes Engine. The application invokes multiple services per request but responds too slowly. You need to identify which downstream service or services are causing the delay. What should you do?

   • A. Analyze VPC flow logs along the path of the request.
   • B. Investigate the Liveness and Readiness probes for each service.
   • C. Create a Dataflow pipeline to analyze service metrics in real time.
   • D. Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.
   Reveal Answer

6. Question #6

   You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

   • A. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
   • B. Deploy a Fluentd daemonset to GK
   • C. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
   • D. Install Kubernetes on Google Compute Engine (GCE> and redeploy your application
   Reveal Answer

7. Question #7

   You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

   • A. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
   • B. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
   • C. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
   • D. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error
   Reveal Answer

8. Question #8

   You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

   • A. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
   • B. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
   • C. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd log
   • D. Create an Alert with a Webhook notification type.
   Reveal Answer

9. Question #9

   You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

   • A. A scalable in-memory caching system
   • B. The organization's public-facing website
   • C. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
   • D. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket
   Reveal Answer

10. Question #10

    You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

    • A. Compare the canary with a new deployment of the current production version.
    • B. Compare the canary with a new deployment of the previous production version.
    • C. Compare the canary with the existing deployment of the current production version.
    • D. Compare the canary with the average performance of a sliding window of previous production versions.
    Reveal Answer