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CHOOSE THE BEST PLATFORM FOR ACING THE Google Professional-Cloud-DevOps-Engineer EXAM

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Audience for This Certification Exam

The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.

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The Google Professional-Cloud-DevOps-Engineer Exam focuses on various aspects of DevOps, including continuous delivery, infrastructure as code, monitoring and logging, and security. Candidates who pass the exam are recognized as experts in implementing and managing DevOps workflows on Google Cloud Platform. They are also able to design and implement highly scalable and reliable cloud-based applications.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q149-Q154):

NEW QUESTION # 149
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the "All logs" dropdown list of the Logs Viewer. What is the first thing you should do?

A. Verify the VM service account access scope includes the monitoring.write scope.
B. Install the most recent version of the Stackdriver agent.
C. Look for the agent's test log entry in the Logs Viewer.
D. SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd

Answer: D

NEW QUESTION # 150
You recently migrated an ecommerce application to Google Cloud. You now need to prepare the application for the upcoming peak traffic season. You want to follow Google-recommended practices. What should you do first to prepare for the busy season?

A. Load test the application to profile its performance for scaling.
B. Pre-provision the additional compute power that was used last season, and expect growth.
C. Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.
D. Migrate the application to Cloud Run, and use autoscaling.

Answer: A

NEW QUESTION # 151
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

A. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
B. Escalate the situation and request additional error budget.
C. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.
D. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.

Answer: A

NEW QUESTION # 152
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

A. Rolling update deployment and A/B testing
B. Blue/green deployment and canary testing
C. Rolling update deployment and shadow testing
D. Recreate deployment and canary testing

Answer: B

Explanation:
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 153
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline.
Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

A. Compare the canary with the average performance of a sliding window of previous production versions.
B. Compare the canary with a new deployment of the previous production version.
C. Compare the canary with the existing deployment of the current production version.
D. Compare the canary with a new deployment of the current production version.

Answer: D

Explanation:
Explanation
https://cloud.google.com/architecture/automated-canary-analysis-kubernetes-engine-spinnaker
https://spinnaker.io/guides/user/canary/best-practices/#compare-canary-against-baseline-not-against-production

NEW QUESTION # 154
......

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