PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM DURATION & PROFESSIONAL-CLOUD-DEVOPS-ENGINEER REVIEW GUIDE

Professional-Cloud-DevOps-Engineer Exam Duration & Professional-Cloud-DevOps-Engineer Review Guide

Professional-Cloud-DevOps-Engineer Exam Duration & Professional-Cloud-DevOps-Engineer Review Guide

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To be eligible for the Google Professional-Cloud-DevOps-Engineer Certification Exam, candidates should have at least three years of experience in software development, infrastructure management, and operations. They should also have a solid understanding of cloud technologies and DevOps practices, as well as experience in designing and implementing cloud-based solutions.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
You are responsible for the reliability of a custom-built, distributed file storage service that your company uses internally. This service handles thousands of file uploads and downloads daily. You need to define a service level indicator (SLI) to measure the reliability of your service usage and configure alerts to be notified of potential issues. Which SLI should you use to measure the reliability of the service?

  • A. Average size of objects stored in your service
  • B. Average request latency of API calls (e.g. get, put, list)
  • C. Number of successful file uploads and downloads per minute
  • D. Ratio of successful API calls to the total number of attempted API calls

Answer: D

Explanation:
SLIs are quantitative measures of service behavior. For reliability, success rate (successful vs. total requests) is the most fundamental metric.
"The most common SLIs are request success rate, availability, and latency."
- Google SRE Workbook: Implementing SLIs
"Availability SLIs often look like 'the fraction of requests that succeed.'"
- Google SRE Book
Option C directly maps to this definition and is the most accurate and measurable indicator of overall reliability.


NEW QUESTION # 121
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?

  • A. Re-run the unit tests, and start the deployment of the feature if the tests pass.
  • B. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.
  • C. Delay the deployment of the feature until the error budget is replenished.
  • D. Start the deployment of the feature immediately.

Answer: B


NEW QUESTION # 122
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?

  • A. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
  • B. Configure the build system with protected branches that require pull request approval.
  • C. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
  • D. Use an Admission Controller to verify that incoming requests originate from approved sources.

Answer: C

Explanation:
Explanation
The keywords here is "developers or operators". Option A the operators could push images to production without approval (operators could touch the cluster directly and the cluster cannot do any action against them).
Rest same as francisco_guerra.


NEW QUESTION # 123
You are implementing a CI'CD pipeline for your application in your company s multi-cloud environment Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes Which solution stack should you use'?

  • A. Google Kubernetes Engine with Google Cloud Deploy
  • B. Cloud Build with kpt
  • C. Cloud Build with Google Cloud Deploy
  • D. Cloud Build with Packer

Answer: C


NEW QUESTION # 124
Your company operates in a highly regulated domain. Your security team requires that only trusted container images can be deployed to Google Kubernetes Engine (GKE). You need to implement a solution that meets the requirements of the security team, while minimizing management overhead. What should you do?

  • A. Use Cloud Run to write and deploy a custom validator Enable an Eventarc trigger to perform validations when new images are uploaded.
  • B. Configure Kritis to run in your GKE clusters to enforce deploy-time security policies.
  • C. Grant the roles/artifactregistry. writer role to the Cloud Build service account. Confirm that no employee has Artifact Registry write permission.
  • D. Configure Binary Authorization in your GKE clusters to enforce deploy-time security policies

Answer: D


NEW QUESTION # 125
......

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