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Exam Code: | Professional-Cloud-DevOps-Engineer |
Exam Name: | Professional Cloud DevOps Engineer |
Exam Questions: | 194 |
Last Updated: | September 17, 2025 |
Related Certifications: | Google Cloud Certified |
Exam Tags: | advanced-level DevOps engineers |
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[Optimizing service performance]
Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?
[Building and implementing CI/CD pipelines for a service]
Your organization has a containerized web application that runs on-premises As part of the migration plan to Google Cloud you need to select a deployment strategy and platform that meets the following acceptance criteria
1 The platform must be able to direct traffic from Android devices to an Android-specific microservice
2 The platform must allow for arbitrary percentage-based traffic splitting
3 The deployment strategy must allow for continuous testing of multiple versions of any microservice
What should you do?
[Building and implementing service monitoring strategies]
Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely on ephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You need
to identify which Pods are causing the issue, but you do not have execute access to workloads and nodes. What should you do?
[Building and implementing service monitoring strategies]
Your company has recently experienced several production service issues. You need to create a Cloud Monitoring dashboard to troubleshoot the issues, and you want to use the dashboard to distinguish between failures in your own service and those caused by a Google Cloud service that you use. What should you do?
[Applying Site Reliability Engineering (SRE) principles to a service]
You are designing a new multi-tenant Google Kubernetes Engine (GKE) cluster for a customer. Your customer is concerned with the risks associated with long-lived credentials use. The customer requires that each GKE workload has the minimum Identity and Access Management (IAM) permissions set following the principle of least privilege (PoLP). You need to design an IAM impersonation solution while following Google-recommended practices. What should you do?
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