Google Professional-Cloud-DevOps-Engineer日本語 : Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版)

  • Exam Code: Professional-Cloud-DevOps-Engineer日本語
  • Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版)
  • Updated: Sep 15, 2026     Q & A: 208 Questions and Answers

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About Prep4sures Google Professional-Cloud-DevOps-Engineer日本語 Exam

Test Structure

The candidates who want to take this Google exam will have two hours to answer all questions. Even though the vendor doesn’t give details on the total number of questions that the examinees will receive, they should be prepared to solve multiple-choice and multiple-answer inquiries. Besides, the test is delivered in the English language only. As for the registration fee, the test-takers will need to pay $200 to take it. Additional taxes may apply depending on the candidate’s profile and chosen delivery method. By and large, the applicants have two options to take the official exam. They can choose to take it online from any remote location that they prefer. If they choose this option, the candidates should read carefully what the testing requirements are. In case applicants prefer to be present in a classroom when they take the actual testing, then they can search for a test center that is closest to their location. Also, Google doesn’t have any prerequisites for the candidates to be eligible for the evaluation. Still, it recommends that the candidates for the Professional Cloud DevOps Engineer exam should have at least 3 years of experience in the industry including a minimum of one year of experience in managing and developing solutions on GCP.

Exam Topics

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:

  • Building & Implementation of CI/CD Pipelines for Services

    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.

  • Application of Site Reliability Engineering Principles to Services

    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.

  • Optimization of Service Performance

    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.

  • Management of Service Incidents

    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.

  • Implementation of Strategies for Service Monitoring

    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

Preparation Process

The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.

The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.

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Google Professional-Cloud-DevOps-Engineer日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implementing observability and troubleshooting20%- Troubleshoot complex issues
  • 1. Isolate problems across layers
  • 2. Trace requests end-to-end
  • 3. Analyze performance and latency
- Optimize observability strategy
  • 1. Scale monitoring for large environments
  • 2. Reduce noise and prioritize signals
  • 3. Integrate observability into development
- Build monitoring and logging systems
  • 1. Collect and analyze metrics, logs, traces
  • 2. Create dashboards and alerts
  • 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace
Bootstrapping and maintaining a Google Cloud organization20%- Set up governance and compliance
  • 1. Implement organization policies
  • 2. Manage resource quotas and limits
  • 3. Configure audit logging and monitoring
- Design resource hierarchy
  • 1. Organize resources by project/folder/application
  • 2. Plan shared networking and connectivity
  • 3. Define IAM policies and access control
- Manage configuration and deployment
  • 1. Enforce consistency across environments
  • 2. Automate resource provisioning
  • 3. Use Infrastructure as Code tools
Optimizing performance and cost17%- Apply FinOps practices
  • 1. Use spot instances and committed use discounts
  • 2. Right-size resources and eliminate waste
  • 3. Monitor and analyze cloud costs
- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Optimize resource allocation
  • 3. Use caching and content delivery
- Balance cost, performance, and reliability
  • 1. Optimize over time
  • 2. Plan capacity and scaling
  • 3. Make tradeoff decisions based on data
Applying site reliability engineering practices18%- Define reliability goals
  • 1. Align reliability with business needs
  • 2. Establish SLIs, SLOs, SLAs
  • 3. Use error budgets to balance change and stability
- Design for resilience
  • 1. Automate remediation and self-healing
  • 2. Test failure scenarios and recovery
  • 3. Plan redundancy and fault tolerance
- Manage incidents and outages
  • 1. Implement improvements to prevent recurrence
  • 2. Detect and respond to issues quickly
  • 3. Perform postmortems and root cause analysis
Building and implementing CI/CD pipelines25%- Implement and secure pipelines
  • 1. Manage pipeline secrets and credentials
  • 2. Enforce security scanning and compliance checks
  • 3. Automate build, test, and deployment stages
- Design CI/CD pipelines
  • 1. Support hybrid/multi-cloud deployment
  • 2. Integrate artifact management
  • 3. Plan pipelines for apps, infrastructure, ML workloads
- Optimize and maintain pipelines
  • 1. Monitor pipeline performance
  • 2. Handle rollbacks and versioning
  • 3. Improve speed and reliability

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