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Google Professional-Cloud-DevOps-Engineer Dumps PDF
Google Cloud Certified - Professional Cloud DevOps Engineer Exam- 201 Questions & Answers
- Update Date : July 02, 2026
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Question 1
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 metricsB. 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.
Question 2
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?
A. Create one Google Cloud project per team In each project create a cluster for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clustersB. Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespace for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters
C. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can only access its own namespace
D. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace
Question 3
You need to build a CI/CD pipeline for a containerized application in Google Cloud Your development team uses a central Git repository for trunk-based development You want to run all your tests in the pipeline for any new versions of the application to improve the quality What should you do?
A. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository 2. Trigger Cloud Build to build the application container Deploy the application container to a testing environment, and run integration tests 3. If the integration tests are successful deploy the application container to your production environment. and run acceptance testsB. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository If all tests are successful build a container 2. Trigger Cloud Build to deploy the application container to a testing environment, and run integration tests and acceptance tests 3. If all tests are successful tag the code as production ready Trigger Cloud Build to build and deploy the application container to the production environment
C. 1. Trigger Cloud Build to build the application container and run unit tests with the container 2. If unit tests are successful, deploy the application container to a testing environment, and run integration tests 3. If the integration tests are successful the pipeline deploys the application container to the production environment After that, run acceptance tests
D. 1. Trigger Cloud Build to run unit tests when the code is pushed If all unit tests are successful, build and push the application container to a central registry. 2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests 3. If all tests are successful the pipeline deploys the application to the production environment and runs smoke tests
Question 4
Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?
A. Configure Prometheus cross-service federation for centralized data accessB. Configure workload metrics within Cloud Operations for GKE
C. Configure Prometheus hierarchical federation for centralized data access
D. Configure Google Cloud Managed Service for Prometheus
Question 5
You deployed an application into a large Standard Google Kubernetes Engine (GKE) cluster. Theapplication is stateless and multiple pods run at the same time. Your application receivesinconsistent traffic. You need to ensure that the user experience remains consistent regardless ofchanges in traffic. and that the resource usage of the cluster is optimized.What should you do?
A. Configure a cron job to scale the deployment on a schedule.B. Configure a Horizontal Pod Autoscaler.
C. Configure a Vertical Pod Autoscaler.
D. Configure cluster autoscaling on the node pool.