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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Professional Cloud DevOps Engineer Exam |
| Exam Number: | Professional-Cloud-DevOps-Engineer |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 50 |
| Related Certifications: | Google Cloud Professional Cloud Developer Google Cloud Professional Cloud Architect Google Cloud Associate Cloud Engineer |
| Available Languages: | English, Spanish, Portuguese, Japanese |
| Passing Score: | 70% |
| Sample Questions: | Google Professional-Cloud-DevOps-Engineer Sample Questions |
| Exam Way: | Online proctored exam available through Pearson VUE or online proctoring. In-person testing at Kryterion test centers also available. |
| Pre Condition: | Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required. |
| Official Syllabus URL: | https://cloud.google.com/certification/cloud-devops-engineer |
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Google Professional-Cloud-DevOps-Engineer certification is designed to validate the knowledge and skills of professionals who have experience working with DevOps practices on the Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is intended for individuals who have expertise in developing and deploying applications using Google Cloud technologies and are familiar with the principles of DevOps. Professional-Cloud-DevOps-Engineer Exam is designed to test the candidate's ability to apply DevOps principles to Google Cloud Platform projects.
NEW QUESTION # 129
You are using Jenkins to orchestrate your CI/CD pipelines deploying your applications to GKE and on- premises VMs. After expanding your on-premises infrastructure, all resource utilization is normal, but you notice that initiating on-premises deployments is taking longer than expected. You need to accelerate the initiation of on-premises deployments. What should you do?
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
The delay in initiating on-premises deployments is likely caused by slow artifact retrieval. Using a local artifact repository:
Reduces dependency on external storage (e.g., Artifact Registry in GCP).
Speeds up deployments by ensuring artifacts are read from a closer, low-latency source.
#Why not other options?
A (Blue-green deployment strategy)## Helps with zero-downtime deployments but doesn't address slow initiation.
B (Upgrading CPUs and memory)## CPU/RAM are not the issue (since resource utilization is normal).
C (Increasing Jenkins executor threads)## Would help only if Jenkins was the bottleneck, but the issue is artifact retrieval.
#Official Reference:
Best Practices for Artifact Management in Jenkins
NEW QUESTION # 130
You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?
Answer: A
Explanation:
The correct answer is B. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
According to the Google Cloud documentation, Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run1.
Binary Authorization uses attestations to certify that a specific image has completed a previous stage in the CI
/CD pipeline, such as passing a load test2.Attestations are signed by private keys that are associated with attestors, which are entities that verify the attestations3.To follow Google-recommended practices, you should store your private keys in Cloud Key ManagementService (Cloud KMS), which is a secure and scalable service for managing cryptographic keys4.You should also use Workload Identity, which is a feature that allows Kubernetes service accounts to act as Google service accounts, to authenticate to Cloud KMS and sign attestations without having to manage or expose service account keys5.
The other options are incorrect because they do not follow Google-recommended practices. Option A and option D require human intervention to sign the attestations, which is not scalable or automated. Option C exposes the service account JSON key as a Kubernetes Secret, which is less secure than using Workload Identity.
NEW QUESTION # 131
You work for a global organization and run a service with an availability target of 99% with limited engineering resources. For the current calendar month you noticed that the service has 99 5% availability. You must ensure that your service meets the defined availability goals and can react to business changes including the upcoming launch of new features You also need to reduce technical debt while minimizing operational costs You want to follow Google-recommended practices What should you do?
Answer: A
NEW QUESTION # 132
You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?
Answer: A
Explanation:
Explanation
Rollback to previous stable version. Then you need to find what is causing the issue.
NEW QUESTION # 133
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?
Answer: C
Explanation:
The correct answer is 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.
According to the Site Reliability Engineering (SRE) practices, an error budget is the amount of unreliability that a service can tolerate without harming user satisfaction1.An error budget is derived from the service-level objectives (SLOs), which are the measurable goals for the service quality2. When a service exceeds its error budget, it means that it has violated its SLOs and may have negatively impacted the users.In this case, the SRE team should notify the product team that their error budget is used up and negotiate with them for a launch freeze or a lower SLO3. A launch freeze means that no new features are deployed until the service reliability is restored. A lower SLO means that the product team accepts a slightly worse user experience in exchange for launching new features. Both options require a trade-off between reliability and innovation, and should be agreed upon by both teams.
The other options are incorrect because they do not follow the SRE practices.Option B is incorrect because it violates the principle of error budget autonomy, which means that each service should have its own error budget and SLOs, and should not borrow or reallocate them from other services4. Option C is incorrect because it does not address the root cause of the error budget overspend, and may create unrealistic expectations for the service reliability. Option D is incorrect because it does not prevent the possibility of introducing new errors or bugs with the feature launch, which may further degrade the service quality and user satisfaction.
Reference:
Error Budgets, Error Budgets.Service Level Objectives, Service Level Objectives.Error Budget Policies, Error Budget Policies.Error Budget Autonomy, Error Budget Autonomy.
NEW QUESTION # 134
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