Google Professional-Cloud-DevOps-Engineer Questions - Tips To Pass Exam 2026

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Earning the Google Professional-Cloud-DevOps-Engineer Certification demonstrates that the candidate has the knowledge and skills to lead and manage cloud-native DevOps practices on the Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for professionals who work as DevOps engineers, site reliability engineers, systems administrators, or software engineers who are responsible for deploying applications on the Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is also suitable for IT managers who want to demonstrate their expertise in managing DevOps practices on the Google Cloud Platform.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q108-Q113):
NEW QUESTION # 108
Your team is preparing to launch a new API in Cloud Run. The API uses an OpenTelemetry agent to send distributed tracing data to Cloud Trace to monitor the time each request takes. The team has noticed inconsistent trace collection. You need to resolve the issue. What should you do?
- A. Increase the CPU limit in Cloud Run from 2 to 4.
- B. Configure CPU to be allocated only during request processing.
- C. Configure CPU to be always-allocated.
- D. Use an HTTP health check.
Answer: C
NEW QUESTION # 109
You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month. You need to identify the metric and evaluation method to use. What should you do?
- A. Select an availability metric for a window-based method Of evaluation.
- B. Select a latency metric for a window-based method of evaluation.
- C. Select a latency metric for a request-based method of evaluation.
- D. Select an availability metric for a request-based method of evaluation.
Answer: C
NEW QUESTION # 110
You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?
- A. Update the Kubernetes Service to point to the previous Kubernetes Deployment
- B. Delete the new container image, and delete the running Pods
- C. Run the kubectl rollout undo command
- D. Scale the new Kubernetes Deployment to zero
Answer: A
Explanation:
Explanation
The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods.
A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).
NEW QUESTION # 111
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using aCI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?
- A. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
- B. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
- C. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
- D. Delete the managed instance group and recreate it after updating the instance template
Answer: C
NEW QUESTION # 112
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub.
You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?
- A. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
- B. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
- C. Disable the CI pipeline and revert to manually building and pushing the artifacts.
- D. Change the CI pipeline to push the artifacts is Container Registry instead of Docker Hub.
Answer: D
NEW QUESTION # 113
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