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

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)
Updated: Sep 15, 2026
Q & A: 208 Questions and Answers

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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.

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

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Conclusion

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

Section	Weight	Objectives
Optimizing performance and cost	17%	- Improve system performance 1. Optimize resource allocation 2. Tune applications and infrastructure 3. Use caching and content delivery - Balance cost, performance, and reliability 1. Optimize over time 2. Make tradeoff decisions based on data 3. Plan capacity and scaling - Apply FinOps practices 1. Use spot instances and committed use discounts 2. Monitor and analyze cloud costs 3. Right-size resources and eliminate waste
Bootstrapping and maintaining a Google Cloud organization	20%	- Manage configuration and deployment 1. Enforce consistency across environments 2. Use Infrastructure as Code tools 3. Automate resource provisioning - Design resource hierarchy 1. Define IAM policies and access control 2. Plan shared networking and connectivity 3. Organize resources by project/folder/application - Set up governance and compliance 1. Implement organization policies 2. Manage resource quotas and limits 3. Configure audit logging and monitoring
Building and implementing CI/CD pipelines	25%	- Implement and secure pipelines 1. Enforce security scanning and compliance checks 2. Manage pipeline secrets and credentials 3. Automate build, test, and deployment stages - Optimize and maintain pipelines 1. Monitor pipeline performance 2. Improve speed and reliability 3. Handle rollbacks and versioning - Design CI/CD pipelines 1. Integrate artifact management 2. Support hybrid/multi-cloud deployment 3. Plan pipelines for apps, infrastructure, ML workloads
Implementing observability and troubleshooting	20%	- Troubleshoot complex issues 1. Trace requests end-to-end 2. Isolate problems across layers 3. Analyze performance and latency - Optimize observability strategy 1. Reduce noise and prioritize signals 2. Integrate observability into development 3. Scale monitoring for large environments - 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
Applying site reliability engineering practices	18%	- Manage incidents and outages 1. Perform postmortems and root cause analysis 2. Implement improvements to prevent recurrence 3. Detect and respond to issues quickly - Define reliability goals 1. Align reliability with business needs 2. Use error budgets to balance change and stability 3. Establish SLIs, SLOs, SLAs - Design for resilience 1. Test failure scenarios and recovery 2. Plan redundancy and fault tolerance 3. Automate remediation and self-healing

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