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Google Professional-Cloud-DevOps-Engineer Dumps Questions Answers

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Last Update Jun 9, 2023
Total Questions : 81

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Last Update Jun 9, 2023
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Questions 1

Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?



Use Cloud Build to trigger a Spinnaker pipeline.


Use Cloud Pub/Sub to trigger a Spinnaker pipeline.


Use a custom builder in Cloud Build to trigger a Jenkins pipeline.


Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Questions 2

You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?

Choose 2 answers



Review current application metrics and add new ones as needed.


Modify the code to capture additional information for user interaction.


Analyze the web proxy logs only and capture response time of each request.


Create new synthetic clients to simulate a user journey using the application.


Use current and historic Request Logs to trace customer interaction with the application.

Questions 3

Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?



Configure the build system with protected branches that require pull request approval.


Use an Admission Controller to verify that incoming requests originate from approved sources.


Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.


Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.