Master the Cloud DevOps Engineer exam with our comprehensive Q&A collection. Review questions by topic, understand explanations, and build confidence for exam day.
Strategies to help you tackle Cloud DevOps Engineer exam questions effectively
Allocate roughly 1-2 minutes per question. Flag difficult questions and return to them later.
Pay attention to keywords like 'MOST', 'LEAST', 'NOT', and 'EXCEPT' in questions.
Use elimination to narrow down choices. Often 1-2 options can be quickly ruled out.
Focus on understanding why answers are correct, not just memorizing facts.
Practice with real exam-style questions for Cloud DevOps Engineer
Option B is correct because using an Organization resource with folders provides the best structure for managing multiple teams. Folders allow you to group projects logically, apply organization policies hierarchically, and maintain centralized billing while giving teams autonomy within their folders. Option A doesn't provide proper isolation between teams. Option C is incorrect because separate organizations cannot be linked and would prevent centralized management. Option D lacks the organizational benefits that folders provide for policy inheritance and resource management.
Option B is correct because Cloud Build supports multiple steps with different container images, and the waitFor field allows you to create dependencies between steps. This provides clear separation of concerns, proper error handling (if tests fail, deployment won't occur), and makes the pipeline maintainable. Option A is not maintainable and makes error handling difficult. Option C adds unnecessary complexity and latency. Option D requires manual intervention, defeating the purpose of automation.
Option B is correct because these are the four golden signals defined in the Google SRE book: Latency (how long requests take), Traffic (demand on the system), Errors (rate of failed requests), and Saturation (how full the service is). These metrics provide comprehensive insight into service health. Option A focuses only on infrastructure metrics without service-level indicators. Option C mixes SLI metrics with DevOps metrics. Option D represents broader operational concerns but not the specific golden signals.
Option C is correct because you can use Cloud Scheduler to trigger Cloud Functions or Cloud Run jobs that execute gcloud commands to resize the Cloud SQL instance to a smaller machine type during off-peak hours, then scale it back up when needed. This maintains availability while reducing costs. Option A causes downtime and data loss risks. Option B is incorrect because stopping a Cloud SQL instance still incurs storage costs and causes downtime. Option D is more expensive and over-engineered for this use case.
Option A is correct because having completely separate clusters provides the highest level of isolation and the safest rollback. You can fully test the green cluster before switching traffic, and rollback is as simple as switching the load balancer back to blue. Option B describes a rolling update, not blue-green. Option C is reasonable but doesn't provide the same level of isolation and makes rollback more complex within the cluster. Option D changes the platform unnecessarily rather than implementing the requested blue-green strategy.
Review Q&A organized by exam domains to focus your study
17% of exam • 3 questions
What is the primary purpose of Bootstrapping a Google Cloud organization for DevOps in Cloud Computing?
Bootstrapping a Google Cloud organization for DevOps serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud DevOps Engineer certification.
Which best practice should be followed when implementing Bootstrapping a Google Cloud organization for DevOps?
When implementing Bootstrapping a Google Cloud organization for DevOps, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Bootstrapping a Google Cloud organization for DevOps integrate with other Google Cloud services?
Bootstrapping a Google Cloud organization for DevOps integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
23% of exam • 3 questions
What is the primary purpose of Building and implementing CI/CD pipelines in Cloud Computing?
Building and implementing CI/CD pipelines serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud DevOps Engineer certification.
Which best practice should be followed when implementing Building and implementing CI/CD pipelines?
When implementing Building and implementing CI/CD pipelines, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Building and implementing CI/CD pipelines integrate with other Google Cloud services?
Building and implementing CI/CD pipelines integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
23% of exam • 3 questions
What is the primary purpose of Applying site reliability engineering practices in Cloud Computing?
Applying site reliability engineering practices serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud DevOps Engineer certification.
Which best practice should be followed when implementing Applying site reliability engineering practices?
When implementing Applying site reliability engineering practices, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Applying site reliability engineering practices integrate with other Google Cloud services?
Applying site reliability engineering practices integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
20% of exam • 3 questions
What is the primary purpose of Optimizing service performance and costs in Cloud Computing?
Optimizing service performance and costs serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud DevOps Engineer certification.
Which best practice should be followed when implementing Optimizing service performance and costs?
When implementing Optimizing service performance and costs, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Optimizing service performance and costs integrate with other Google Cloud services?
Optimizing service performance and costs integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
17% of exam • 3 questions
What is the primary purpose of Managing service lifecycle and operations in Cloud Computing?
Managing service lifecycle and operations serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud DevOps Engineer certification.
Which best practice should be followed when implementing Managing service lifecycle and operations?
When implementing Managing service lifecycle and operations, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Managing service lifecycle and operations integrate with other Google Cloud services?
Managing service lifecycle and operations integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
After reviewing these questions and answers, challenge yourself with our interactive practice exams. Track your progress and identify areas for improvement.
Common questions about the exam format and questions
The Cloud DevOps Engineer exam typically contains 50-65 questions. The exact number may vary, and not all questions may be scored as some are used for statistical purposes.
The exam includes multiple choice (single answer), multiple response (multiple correct answers), and scenario-based questions. Some questions may include diagrams or code snippets that you need to analyze.
Questions are weighted based on the exam domain weights. Topics with higher percentages have more questions. Focus your study time proportionally on domains with higher weights.
Yes, most certification exams allow you to flag questions for review and return to them before submitting. Use this feature strategically for difficult questions.
Practice questions are designed to match the style, difficulty, and topic coverage of the real exam. While exact questions won't appear, the concepts and question formats will be similar.
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