How to study the Google Professional Cloud DevOps Engineer Exam
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Exam Details
The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.
If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.
Reference: https://cloud.google.com/certification/cloud-devops-engineer
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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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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Infrastructure Automation | 24% | - Infrastructure as Code (IaC)
|
| Topic 2: CI/CD Pipeline Development | 26% | - Containerization and Docker
|
| Topic 3: Monitoring, Logging, and Debugging | 12% | - Cloud Operations Suite
|
| Topic 4: Reliability and Site Reliability Engineering (SRE) | 24% | - Monitoring and observability
|
| Topic 5: Microservices Architecture | 14% | - Container orchestration with GKE
|

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