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| Vendor: | |
|---|---|
| Exam Code: | Professional-Cloud-DevOps-Engineer |
| Exam Name: | Professional Cloud DevOps Engineer |
| Exam Questions: | 194 |
| Last Updated: | December 16, 2025 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | advanced-level DevOps engineers |
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[Optimizing service performance]
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?
[Building and implementing CI/CD pipelines for a service]
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?
[Building and implementing service monitoring strategies]
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?
[Building and implementing CI/CD pipelines for a service]
You are deploying a Cloud Build job that deploys Terraform code when a Git branch is updated. While testing, you noticed that the job fails. You see the following error in the build logs:
Initializing the backend. ..
Error: Failed to get existing workspaces : querying Cloud Storage failed: googleapi : Error
403
You need to resolve the issue by following Google-recommended practices. What should you do?
[Building and implementing CI/CD pipelines for a service]
You are developing reusable infrastructure as code modules. Each module contains integration tests that launch the module in a test project. You are using GitHub for source control. You need to Continuously test your feature branch and ensure that all code is tested before changes are accepted. You need to implement a solution to automate the integration tests. What should you do?
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