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Vendor: Google
Exam Code: PROFESSIONAL-CLOUD-DEVOPS-ENGINEER
Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer
Certification Provider: Google
Total Questions: 192 Q&A ( View Details)
Updated on: May 23, 2026
Note: Product instant download. Please sign in and click My account to download your product.You are configuring the frontend tier of an application deployed in Google Cloud. The frontend tier is hosted in nginx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front. The application is deployed entirely within the europe-west2 region, and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration. What should you use?
A. Premium Tier with a global load balancer
B. Premium Tier with a regional load balancer
C. Standard Tier with a global load balancer
D. Standard Tier with a regional load balancer
The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE). You could not fully load-test the new version in your pre-production environment, and you need to ensure that the application does not have performance problems after deployment. Your deployment must be automated. What should you do?
A. Deploy the application through a continuous delivery pipeline by using canary deployments. Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics.
B. Deploy the application through a continuous delivery pipeline by using blue/green deployments. Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues.
C. Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.
D. Deploy the application by using kubectl and set the spec.updateStrategy.type field to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.
Your company uses Jenkins running on Google Cloud VM instances for CI/CD. You need to extend the functionality to use infrastructure as code automation by using Terraform. You must ensure that the Terraform Jenkins instance is authorized to create Google Cloud resources. You want to follow Google-recommended practices. What should you do?
A. Confirm that the Jenkins VM instance has an attached service account with the appropriate Identity and Access Management (IAM) permissions.
B. Use the Terraform module so that Secret Manager can retrieve credentials.
C. Create a dedicated service account for the Terraform instance. Download and copy the secret key value to the GOOGLE_CREDENTIALS environment variable on the Jenkins server.
D. Add the gcloud auth application-default login command as a step in Jenkins before running the Terraform commands.
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