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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 Duration: | 120 minutes |
| Exam Price: | $200 (plus tax where applicable) |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Multiple select |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | 50-60 |
| Related Certifications: | Professional Cloud Developer Professional Cloud Network Engineer Professional Cloud Architect Professional Cloud Security Engineer |
| Recommended Training: | Exam Guide Professional Cloud DevOps Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-DevOps-Engineer Sample Questions |
| Exam Way: | Online proctored (remote) or onsite proctored (testing center) |
| Pre Condition: | No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-devops-engineer |
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To be eligible for the exam, candidates should have at least 3 years of industry experience in software development, systems operations, or other relevant fields, and have a good understanding of cloud computing concepts and technologies. They should also have hands-on experience with GCP tools and services, including Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, Cloud Functions, and Stackdriver. Additionally, candidates should be familiar with DevOps methodologies and practices, such as Continuous Integration/Continuous Delivery (CI/CD), Infrastructure as Code (IaC), and Configuration Management. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice questions, scenario-based questions, and performance-based tasks, and requires a passing score of 70% or higher.
NEW QUESTION # 32
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application.
Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the
90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?
Answer: B
Explanation:
https://sre.google/sre-book/service-level-objectives/
NEW QUESTION # 33
You need to build a CI/CD pipeline for a containerized application in Google Cloud Your development team uses a central Git repository for trunk-based development You want to run all your tests in the pipeline for any new versions of the application to improve the quality What should you do?
Answer: A
Explanation:
The best option for building a CI/CD pipeline for a containerized application in Google Cloud is to trigger Cloud Build to run unit tests when the code is pushed, if all unit tests are successful, build and push the application container to a central registry, trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests, and if all tests are successful, the pipeline deploys the application to the production environment and runs smoke tests. This option follows the best practices for CI/CD pipelines, such as running tests at different stages of the pipeline, using a central registry for storing and managing containers, deploying to different environments, and using Cloud Build as a unified tool for building, testing, and deploying.
NEW QUESTION # 34
Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?
Answer: B
NEW QUESTION # 35
You are managing an MLOps platform on a Google Kubernetes Engine (GKE) cluster that serves two teams:
* The Research team runs hundreds of small, daily experiments that can run as capacity allows and are highly cost-sensitive.
* The Production team must retrain the company's main language model every Friday at 10:00 PM. This job is business-critical, cannot be interrupted, and must start on time.
You need to configure the modes for Dynamic Workload Scheduler to meet each team's requirements. What should you do?
Answer: A
Explanation:
Comprehensive and Detailed 150 to 200 words of Explanation From Google Cloud DevOps guides documents:
Google Cloud's Dynamic Workload Scheduler offers two distinct modes designed to balance resource availability with cost and criticality. Flex Start mode is optimized for cost-sensitive, asynchronous workloads that do not have a strict start time. It allows the scheduler to obtain capacity when it becomes available within a 7-day window, making it the ideal choice for the Research team's hundreds of small experiments. This mode prioritizes resource optimization and lower costs over immediate execution.
Conversely, Calendar mode is designed for business-critical jobs that require guaranteed capacity at a specific date and time. By using Calendar mode, the Production team can reserve the necessary GPU or TPU resources for their Friday 10:00 PM retraining session. This ensures the job starts exactly on time and runs without interruption, satisfying the "business-critical" requirement. Combining these two modes allows an organization to maximize cluster utilization: using Flex Start to fill the gaps with non-urgent research while ensuring that high-priority production tasks have the "just-in-time" resource guarantees they need to maintain SLOs (Service Level Objectives).
NEW QUESTION # 36
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
Answer: C
NEW QUESTION # 37
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