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Google Updated Professional-Cloud-DevOps-Engineer Exam Questions and Answers by junior

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Google Professional-Cloud-DevOps-Engineer Exam Overview :

Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Code: Professional-Cloud-DevOps-Engineer Dumps
Vendor: Google Certification: Cloud DevOps Engineer
Questions: 162 Q&A's Shared By: junior
Question 12

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?

Options:

A.

Use a Jenkins server for Cl/CD pipelines. Periodically run all tests in the feature branch.

B.

Use Cloud Build to run the tests. Trigger all tests to run after a pull request is merged.

C.

Ask the pull request reviewers to run the integration tests before approving the code.

D.

Use Cloud Build to run tests in a specific folder. Trigger Cloud Build for every GitHub pull request.

Discussion
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Question 13

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

Options:

A.

Use Stackdriver Kubernetes Engine Monitoring.

B.

Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

C.

Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.

D.

Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Discussion
Question 14

Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?

Options:

A.

Configure Error Reporting in your application

B.

Configure Google Cloud Managed Service for Prometheus in your application

C.

Configure Cloud Profiler in your application

D.

Configure Cloud Trace in your application

Discussion
Question 15

You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

Options:

A.

Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.

B.

Apply the latest tag to the previous container image, and do a rolling update on the deployment.

C.

Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.

D.

Alter the deployment to point to the sha2 56 digest of the previously working container.

Discussion
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