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Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-DevOps-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Certification:
Cloud DevOps Engineer
Vendor:
Google
Questions:
201
Last Updated:
Apr 15, 2026
Exam Status:
Stable
Google Professional-Cloud-DevOps-Engineer

Professional-Cloud-DevOps-Engineer: Cloud DevOps Engineer Exam 2025 Study Guide Pdf and Test Engine

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

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Question 1

You manage a retail website for your company. The website consists of several microservices running in a GKE Standard node pool with node autoscaling enabled. Each microservice has resource limits and a Horizontal Pod Autoscaler configured. During a busy period, you receive alerts for one of the microservices. When you check the Pods, half of them have the status OOMKilled, and the number of Pods is at the minimum autoscaling limit. You need to resolve the issue. What should you do?

Options:

A.

Increase the memory resource limit of the microservice.

B.

Increase the maximum number of nodes in the node pool.

C.

Increase the maximum replica limit of the Horizontal Pod Autoscaler.

D.

Update the node pool to use a machine type with more memory.

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Question 2

You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.

You need to troubleshoot the issue. What should you do?

Options:

A.

Confirm that the Stackdriver agent has been installed in the hosting virtual machine.

B.

Confirm that your account has the proper permissions to use the Stackdriver dashboard.

C.

Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.

D.

Confirm that the application is using the required client library and the service account key has proper permissions.

Question 3

You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?

Options:

A.

Instrument all applications with Stackdriver Profiler.

B.

Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

C.

Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.

D.

Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.

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