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Updated: Aug 03, 2026
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To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:
The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.
To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.
This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.
Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.
Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.
Reference: https://cloud.google.com/certification/cloud-devops-engineer
The average salary of a Google Professional Cloud DevOps Engineer Certified Expert in different regions is as follows:
| Certification Vendor: | Google Cloud |
| Exam Name: | Google Cloud Certified - Professional Cloud DevOps Engineer Exam |
| Exam Number: | Professional-Cloud-DevOps-Engineer |
| Exam Price: | $200 (plus tax where applicable) |
| Real Exam Qty: | 50-60 |
| Available Languages: | English, Japanese |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | Professional Cloud Architect Professional Cloud Developer Professional Cloud Network Engineer Professional Cloud Security Engineer |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Professional Cloud DevOps Engineer Learning Path Exam Guide |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and implementing CI/CD pipelines | 25% | - Design CI/CD pipelines
|
| Topic 2: Bootstrapping and maintaining a Google Cloud organization | 20% | - Manage configuration and deployment
|
| Topic 3: Applying site reliability engineering practices | 18% | - Design for resilience
|
| Topic 4: Optimizing performance and cost | 17% | - Balance cost, performance, and reliability
|
| Topic 5: Implementing observability and troubleshooting | 20% | - Build monitoring and logging systems
|
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