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  • Exam Code: Professional-Cloud-DevOps-Engineer-JPN
  • Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版)
  • Last Updated: Aug 05, 2026
  • Q & A: 208 Questions and Answers
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  • Exam Code: Professional-Cloud-DevOps-Engineer-JPN
  • Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版)
  • Last Updated: Aug 05, 2026
  • Q & A: 208 Questions and Answers
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Domains Tested in Final Evaluation

The candidates who succeed in passing the Google Professional Cloud DevOps Engineer validation will add an international designation under their belt that helps them consolidate their position in the company and receive generous offers from their employers. So, if applicants want to differentiate themselves from other colleagues, they should demonstrate the following skills:

  • Identifying issues related to service performance and implementing solutions to optimize it;
  • Checking and implementing strategies related to service monitoring;
  • Identifying the most effective principles related to site reliability engineering and applying them to a definite service;
  • Coordinating teams to identify and manage incidents related to service development.
  • Implementing and building CI/CD service pipelines;

The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

Prerequisites

The Google Professional Cloud DevOps Engineer certification exam is designed for the Application Developers and Programmers who want to learn how to design, develop, and deploy Cloud applications. This test has no formal prerequisites. However, the individuals are recommended to have at least 3 years of industry experience, involving 1 or more years of experience with managing solutions on Google Cloud Platform.

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

SectionWeightObjectives
Topic 1: Bootstrapping and maintaining a Google Cloud organization20%- Design resource hierarchy
  • 1. Define IAM policies and access control
  • 2. Organize resources by project/folder/application
  • 3. Plan shared networking and connectivity
- Manage configuration and deployment
  • 1. Enforce consistency across environments
  • 2. Automate resource provisioning
  • 3. Use Infrastructure as Code tools
- Set up governance and compliance
  • 1. Manage resource quotas and limits
  • 2. Configure audit logging and monitoring
  • 3. Implement organization policies
Topic 2: Optimizing performance and cost17%- Improve system performance
  • 1. Optimize resource allocation
  • 2. Use caching and content delivery
  • 3. Tune applications and infrastructure
- Balance cost, performance, and reliability
  • 1. Optimize over time
  • 2. Plan capacity and scaling
  • 3. Make tradeoff decisions based on data
- Apply FinOps practices
  • 1. Right-size resources and eliminate waste
  • 2. Use spot instances and committed use discounts
  • 3. Monitor and analyze cloud costs
Topic 3: Applying site reliability engineering practices18%- Define reliability goals
  • 1. Use error budgets to balance change and stability
  • 2. Establish SLIs, SLOs, SLAs
  • 3. Align reliability with business needs
- Manage incidents and outages
  • 1. Detect and respond to issues quickly
  • 2. Implement improvements to prevent recurrence
  • 3. Perform postmortems and root cause analysis
- Design for resilience
  • 1. Plan redundancy and fault tolerance
  • 2. Test failure scenarios and recovery
  • 3. Automate remediation and self-healing
Topic 4: Implementing observability and troubleshooting20%- 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
- Troubleshoot complex issues
  • 1. Trace requests end-to-end
  • 2. Analyze performance and latency
  • 3. Isolate problems across layers
- Optimize observability strategy
  • 1. Scale monitoring for large environments
  • 2. Integrate observability into development
  • 3. Reduce noise and prioritize signals
Topic 5: Building and implementing CI/CD pipelines25%- Implement and secure pipelines
  • 1. Automate build, test, and deployment stages
  • 2. Enforce security scanning and compliance checks
  • 3. Manage pipeline secrets and credentials
- Design CI/CD pipelines
  • 1. Integrate artifact management
  • 2. Plan pipelines for apps, infrastructure, ML workloads
  • 3. Support hybrid/multi-cloud deployment
- Optimize and maintain pipelines
  • 1. Monitor pipeline performance
  • 2. Improve speed and reliability
  • 3. Handle rollbacks and versioning

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