Google Cloud Certified - Professional Cloud DevOps Engineer : Professional-Cloud-DevOps-Engineer

Professional-Cloud-DevOps-Engineer testking pdf
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Exam Code: Professional-Cloud-DevOps-Engineer

Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Updated: Aug 16, 2026

Q & A: 208 Questions and Answers

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Individuals should pursue the Professional Cloud DevOps Engineer practice exam if they want to demonstrate their expertise and ability to design plan, and prototype a GCP DevOps, implement a GCP Virtual Private Cloud (VPC), implement DevOps security. It's perfect for DevOps engineers, systems administrators or operations team members, or simply any professional who wants in on this specific area of IT and cloud.

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Google Professional Cloud DevOps Engineer Certified Professional salary

The average salary of a Google Professional Cloud DevOps Engineer Certified Expert in different regions is as follows:

  • England: 130,500 POUND
  • Europe: 144,000 EURO
  • United State: 151,00 USD
  • India: 25,00,000 INR

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

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

SectionWeightObjectives
Topic 1: Implementing observability and troubleshooting20%- Build monitoring and logging systems
  • 1. Create dashboards and alerts
  • 2. Collect and analyze metrics, logs, traces
  • 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- Optimize observability strategy
  • 1. Reduce noise and prioritize signals
  • 2. Integrate observability into development
  • 3. Scale monitoring for large environments
- Troubleshoot complex issues
  • 1. Trace requests end-to-end
  • 2. Isolate problems across layers
  • 3. Analyze performance and latency
Topic 2: Building and implementing CI/CD pipelines25%- Optimize and maintain pipelines
  • 1. Improve speed and reliability
  • 2. Handle rollbacks and versioning
  • 3. Monitor pipeline performance
- Design CI/CD pipelines
  • 1. Plan pipelines for apps, infrastructure, ML workloads
  • 2. Integrate artifact management
  • 3. Support hybrid/multi-cloud deployment
- Implement and secure pipelines
  • 1. Manage pipeline secrets and credentials
  • 2. Automate build, test, and deployment stages
  • 3. Enforce security scanning and compliance checks
Topic 3: 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. Plan capacity and scaling
  • 2. Make tradeoff decisions based on data
  • 3. Optimize over time
- 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 4: Bootstrapping and maintaining a Google Cloud organization20%- Manage configuration and deployment
  • 1. Automate resource provisioning
  • 2. Enforce consistency across environments
  • 3. Use Infrastructure as Code tools
- Design resource hierarchy
  • 1. Plan shared networking and connectivity
  • 2. Define IAM policies and access control
  • 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
Topic 5: 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. Plan redundancy and fault tolerance
  • 2. Test failure scenarios and recovery
  • 3. Automate remediation and self-healing
- Manage incidents and outages
  • 1. Implement improvements to prevent recurrence
  • 2. Detect and respond to issues quickly
  • 3. Perform postmortems and root cause analysis

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