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The Professional-Cloud-DevOps-Engineer Certification Exam is one of the Google Cloud Certified exams, which are designed to validate an individual's skills and expertise in Google Cloud technologies. Professional-Cloud-DevOps-Engineer exam covers a range of topics, including continuous integration and delivery, monitoring and logging, site reliability engineering, security and compliance, and much more.

Test Structure

The candidates who want to take this Google exam will have two hours to answer all questions. Even though the vendor doesn’t give details on the total number of questions that the examinees will receive, they should be prepared to solve multiple-choice and multiple-answer inquiries. Besides, the test is delivered in the English language only. As for the registration fee, the test-takers will need to pay $200 to take it. Additional taxes may apply depending on the candidate’s profile and chosen delivery method. By and large, the applicants have two options to take the official exam. They can choose to take it online from any remote location that they prefer. If they choose this option, the candidates should read carefully what the testing requirements are. In case applicants prefer to be present in a classroom when they take the actual testing, then they can search for a test center that is closest to their location. Also, Google doesn’t have any prerequisites for the candidates to be eligible for the evaluation. Still, it recommends that the candidates for the Professional Cloud DevOps Engineer exam should have at least 3 years of experience in the industry including a minimum of one year of experience in managing and developing solutions on GCP.

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Google Professional-Cloud-DevOps-Engineer certification exam consists of multiple-choice and multiple-select questions, and it is delivered online through a secure testing platform. Professional-Cloud-DevOps-Engineer Exam is designed to test the candidate's ability to solve real-world problems using Google Cloud Platform (GCP) technologies and services.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q86-Q91):

NEW QUESTION # 86
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

• A. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
• B. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
• C. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.
• D. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.

Answer: B

NEW QUESTION # 87
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

• A. * Deploy the Stackdriver monitoring agent to the application servers.
  * Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
• B. * Deploy the Stackdriver logging agent to the application servers.
  * Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
• C. * Deploy the Stackdriver logging agent to the application servers.
  * Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
• D. * Install the gsutil command line tool on your application servers.
  * Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
  * Give the developers IAM Object Viewer access to view the logs in the specified bucket.

Answer: B

NEW QUESTION # 88
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?

• A. Alter the deployment to point to the sha2 56 digest of the previously working container.
• B. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.
• C. Apply the latest tag to the previous container image, and do a rolling update on the deployment.
• D. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.

Answer: A

NEW QUESTION # 89
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?

• A. Use Cloud Build to run tests in a specific folder. Trigger Cloud Build for every GitHub pull request.
• B. Use a Jenkins server for Cl/CD pipelines. Periodically run all tests in the feature branch.
• C. Ask the pull request reviewers to run the integration tests before approving the code.
• D. Use Cloud Build to run the tests. Trigger all tests to run after a pull request is merged.

Answer: A

Explanation:
Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure. Cloud Build can import source code from Google Cloud Storage, Cloud Source Repositories, GitHub, or Bitbucket, execute a build to your specifications, and produce artifacts such as Docker containers or Java archives1. Cloud Build can also run integration tests as part of your build steps2.
You can use Cloud Build to run tests in a specific folder by specifying the path to the folder in the dir field of your build step3. For example, if you have a folder named tests that contains your integration tests, you can use the following build step to run them:
steps:
- name: 'gcr.io/cloud-builders/go'
args: ['test', '-v']
dir: 'tests'
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You can use Cloud Build to trigger builds for every GitHub pull request by using the Cloud Build GitHub app. The app allows you to automatically build on Git pushes and pull requests and view your build results on GitHub and Google Cloud console4. You can configure the app to run builds on specific branches, tags, or paths5. For example, if you want to run builds on pull requests that target the master branch, you can use the following trigger configuration:
includedFiles:
- '**'
name: 'pull-request-trigger'
github:
name: 'my-repo'
owner: 'my-org'
pullRequest:
branch: '

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