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Introduction to Google Professional Cloud DevOps Engineer Exam

Google Professional Cloud DevOps Engineer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud DevOps engineer in the IT industry.

After passing this Professional Cloud DevOps Engineer Exam test, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud DevOps Engineer to their clients and employers.

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How much Google Professional Cloud DevOps Engineer Exam cost

Google Professional Cloud DevOps Engineer exam cost is USD 200, for more information related to the Google Professional Cloud DevOps Engineer exam, please visit Google Website. Additional costs of Professional Cloud DevOps Engineer exam dumps pdf and Professional Cloud DevOps Engineer practice test are not included in this price.

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

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

SectionWeightObjectives
Topic 1: Applying site reliability engineering practices18%- Define reliability goals
  • 1. Establish SLIs, SLOs, SLAs
  • 2. Align reliability with business needs
  • 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. Perform postmortems and root cause analysis
  • 2. Implement improvements to prevent recurrence
  • 3. Detect and respond to issues quickly
Topic 2: Bootstrapping and maintaining a Google Cloud organization20%- Manage configuration and deployment
  • 1. Use Infrastructure as Code tools
  • 2. Enforce consistency across environments
  • 3. Automate resource provisioning
- Set up governance and compliance
  • 1. Implement organization policies
  • 2. Configure audit logging and monitoring
  • 3. Manage resource quotas and limits
- Design resource hierarchy
  • 1. Plan shared networking and connectivity
  • 2. Define IAM policies and access control
  • 3. Organize resources by project/folder/application
Topic 3: Building and implementing CI/CD pipelines25%- Design CI/CD pipelines
  • 1. Integrate artifact management
  • 2. Support hybrid/multi-cloud deployment
  • 3. Plan pipelines for apps, infrastructure, ML workloads
- 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. Handle rollbacks and versioning
  • 3. Improve speed and reliability
Topic 4: Optimizing performance and cost17%- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Use caching and content delivery
  • 3. Optimize resource allocation
- 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. Monitor and analyze cloud costs
  • 2. Right-size resources and eliminate waste
  • 3. Use spot instances and committed use discounts
Topic 5: Implementing observability and troubleshooting20%- Optimize observability strategy
  • 1. Integrate observability into development
  • 2. Scale monitoring for large environments
  • 3. Reduce noise and prioritize signals
- Build monitoring and logging systems
  • 1. Create dashboards and alerts
  • 2. Use Cloud Monitoring, Cloud Logging, Cloud Trace
  • 3. Collect and analyze metrics, logs, traces
- Troubleshoot complex issues
  • 1. Trace requests end-to-end
  • 2. Isolate problems across layers
  • 3. Analyze performance and latency

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