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

Section

Weight

Objectives

Topic 1: Microservices Architecture

14%

- Service mesh and networking

1. Implementing service-to-service authentication
2. Implementing Anthos Service Mesh / Istio
3. Configuring traffic management and load balancing

- Container orchestration with GKE

1. Configuring node pools and auto-scaling
2. Designing Kubernetes cluster architectures
3. Implementing workload deployment and scaling
4. Managing pod lifecycle and resource quotas

- API management

1. Implementing API versioning strategies
2. Exposing APIs with Cloud Endpoints / Apigee

Topic 2: Cloud Infrastructure Automation

24%

- Infrastructure as Code (IaC)

1. Implementing with Terraform
2. Implementing immutable infrastructure patterns
3. Managing infrastructure modules and state

- Deployment strategies

1. Rolling updates with Kubernetes
2. Blue-green deployments
3. Feature flags with Firebase Remote Config or LaunchDarkly
4. Canary releases and progressive rollouts

- Configuration management

1. Managing secrets with Secret Manager
2. Using Ansible for configuration management
3. Implementing configuration drift detection

Topic 3: CI/CD Pipeline Development

26%

- CI/CD best practices

1. Managing secrets in CI/CD pipelines
2. Implementing shift-left testing
3. Configuring quality gates and code coverage

- Designing and implementing CI/CD pipelines

1. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
2. Configuring build triggers and webhooks
3. Setting up artifact management with Artifact Registry
4. Configuring build caching strategies
5. Implementing build automation scripts

- Containerization and Docker

1. Managing container registries
2. Implementing container security best practices
3. Creating optimized Docker images (multi-stage builds)

Topic 4: Monitoring, Logging, and Debugging

12%

- Debugging and troubleshooting

1. Analyzing performance profiles with Cloud Profiler
2. Debugging with Cloud Trace distributed tracing
3. Using Cloud Debugger and Error Reporting

- Log management

1. Configuring log retention policies
2. Structuring logs for efficient querying
3. Implementing log-based metrics

- Cloud Operations Suite

1. Creating uptime checks and alerts
2. Implementing Cloud Logging with log sinks
3. Configuring Cloud Monitoring metrics

Topic 5: Reliability and Site Reliability Engineering (SRE)

24%

- SLOs, SLIs, and SLAs

1. Defining and implementing Service Level Objectives
2. Setting appropriate Service Level Agreements
3. Error budget policies and management
4. Creating and interpreting Service Level Indicators

- Monitoring and observability

1. Creating dashboards for service health visibility
2. Setting up alerting policies and incident management
3. Implementing distributed tracing with Cloud Trace
4. Configuring Cloud Monitoring and Logging

- Incident management

1. Implementing on-call procedures
2. Post-incident reviews and blameless postmortems
3. Configuring automated incident response

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Section	Weight	Objectives
Topic 1: Microservices Architecture	14%	- Service mesh and networking 1. Implementing service-to-service authentication 2. Implementing Anthos Service Mesh / Istio 3. Configuring traffic management and load balancing - Container orchestration with GKE 1. Configuring node pools and auto-scaling 2. Designing Kubernetes cluster architectures 3. Implementing workload deployment and scaling 4. Managing pod lifecycle and resource quotas - API management 1. Implementing API versioning strategies 2. Exposing APIs with Cloud Endpoints / Apigee
Topic 2: Cloud Infrastructure Automation	24%	- Infrastructure as Code (IaC) 1. Implementing with Terraform 2. Implementing immutable infrastructure patterns 3. Managing infrastructure modules and state - Deployment strategies 1. Rolling updates with Kubernetes 2. Blue-green deployments 3. Feature flags with Firebase Remote Config or LaunchDarkly 4. Canary releases and progressive rollouts - Configuration management 1. Managing secrets with Secret Manager 2. Using Ansible for configuration management 3. Implementing configuration drift detection
Topic 3: CI/CD Pipeline Development	26%	- CI/CD best practices 1. Managing secrets in CI/CD pipelines 2. Implementing shift-left testing 3. Configuring quality gates and code coverage - Designing and implementing CI/CD pipelines 1. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 2. Configuring build triggers and webhooks 3. Setting up artifact management with Artifact Registry 4. Configuring build caching strategies 5. Implementing build automation scripts - Containerization and Docker 1. Managing container registries 2. Implementing container security best practices 3. Creating optimized Docker images (multi-stage builds)
Topic 4: Monitoring, Logging, and Debugging	12%	- Debugging and troubleshooting 1. Analyzing performance profiles with Cloud Profiler 2. Debugging with Cloud Trace distributed tracing 3. Using Cloud Debugger and Error Reporting - Log management 1. Configuring log retention policies 2. Structuring logs for efficient querying 3. Implementing log-based metrics - Cloud Operations Suite 1. Creating uptime checks and alerts 2. Implementing Cloud Logging with log sinks 3. Configuring Cloud Monitoring metrics
Topic 5: Reliability and Site Reliability Engineering (SRE)	24%	- SLOs, SLIs, and SLAs 1. Defining and implementing Service Level Objectives 2. Setting appropriate Service Level Agreements 3. Error budget policies and management 4. Creating and interpreting Service Level Indicators - Monitoring and observability 1. Creating dashboards for service health visibility 2. Setting up alerting policies and incident management 3. Implementing distributed tracing with Cloud Trace 4. Configuring Cloud Monitoring and Logging - Incident management 1. Implementing on-call procedures 2. Post-incident reviews and blameless postmortems 3. Configuring automated incident response