Google Professional Cloud DevOps Engineer exam dumps: questions 101 to 200 of 266

Correct answers: A, C, E

• A. Correct.

  Using a canary deployment allows you to gradually test the new feature with a limited audience while minimizing risk to the entire user base. This is a key practice in managing service lifecycles during feature rollouts.

• B. Incorrect.

  Performing a full cluster upgrade on GKE is not directly related to this scenario and could introduce additional risks or downtime. Cluster upgrades should be planned and tested independently from feature rollouts.

• C. Correct.

  Implementing monitoring and alerting ensures that you can track the behavior of the system during the deployment and respond to any issues that arise. This is crucial for maintaining service availability throughout the lifecycle.

• D. Incorrect.

  Rolling back previous versions of the service is unnecessary in this scenario and could disrupt the system. Instead, focus on deploying the new feature in a controlled manner.

• E. Correct.

  Defining clear SLOs ensures you can measure the impact of the new feature on the user experience, helping you manage the service lifecycle effectively and make data-driven decisions.

Correct answers: A, C, D

• A. Correct.

  Canary Deployment is a recommended approach for managing service lifecycle updates, as it allows testing the new version with a small subset of users, reducing potential impact if issues arise.

• B. Incorrect.

  Deploying the new version immediately to all instances is risky and could lead to widespread issues if the new version contains bugs or performance regressions.

• C. Correct.

  Setting up monitoring and alerting is critical during a rollout to detect and address errors or performance issues in real-time.

• D. Correct.

  Blue-Green Deployment is another effective strategy that allows testing the new version in production without impacting users, and it enables a quick rollback if necessary.

• E. Incorrect.

  Disabling autoscaling is not recommended as it could lead to resource constraints or service instability, especially if traffic increases.

Correct answers: A, B, D, E

• A. Correct.

  Correct. Creating and testing monitoring and alerting configurations is essential to ensure the service's health can be monitored in production and issues can be detected early.

• B. Correct.

  Correct. Defining SLOs and SLIs helps align the service's performance with business expectations and ensures measurable goals are established.

• C. Incorrect.

  Incorrect. Deploying directly to production without prior testing is risky and goes against best practices for service management.

• D. Correct.

  Correct. Preparing a rollback strategy is crucial to minimize downtime or disruption if issues occur during deployment.

• E. Correct.

  Correct. Documenting the service architecture and dependencies ensures operational teams and stakeholders have access to critical information for troubleshooting and maintenance.

Correct answers: A, B, D, E

• A. Correct.

  Defining service-level objectives (SLOs) is critical to align with organizational goals and ensure the microservice meets reliability and performance targets.

• B. Correct.

  Load testing is essential to validate that the microservice can handle expected and peak traffic loads before going live.

• C. Incorrect.

  Deploying directly to production without prior validation violates best practices, as it can introduce untested issues into the live environment.

• D. Correct.

  Setting up monitoring and logging ensures that the team can track performance, detect issues early, and troubleshoot effectively.

• E. Correct.

  A rollback plan is a key part of any deployment strategy, allowing the team to revert changes quickly if unexpected problems occur.

Correct answers: A, B, D

• A. Correct.

  Monitoring resource usage and setting up alerts helps you detect when you are close to exhausting quotas, allowing you to take proactive measures.

• B. Correct.

  Requesting a quota increase ensures that you have sufficient capacity to handle the expected growth of your application.

• C. Incorrect.

  Redesigning the application to use fewer instances might reduce resource usage, but it is not always feasible or aligned with the application's scaling requirements.

• D. Correct.

  Retries with exponential backoff ensure that the application can handle temporary API rate limit errors without failing, improving resilience.

• E. Incorrect.

  Requesting unlimited quotas is not a valid option in Google Cloud, as all resources have upper limits even after quota increases.