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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q112-Q117):

NEW QUESTION # 112
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

Answer: A


NEW QUESTION # 113
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub. You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

Answer: D


NEW QUESTION # 114
You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?

Answer: D


NEW QUESTION # 115
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/compute/docs/faq


NEW QUESTION # 116
You built a serverless application by using Cloud Run and deployed the application to your production environment You want to identify the resource utilization of the application for cost optimization What should you do?

Answer: A

Explanation:
The best option for giving developers the ability to test the latest revisions of the service before the service is exposed to customers is to run the gcloud run deploy booking-engine --no-traffic --tag dev command and use the https://dev----booking-engine-abcdef.a.run.app URL for testing. The gcloud run deploy command is a command that deploys a new revision of your service or updates an existing service. By using the --no-traffic flag, you can prevent any traffic from being sent to the new revision. By using the --tag flag, you can assign a tag to the new revision, such as dev. This way, you can create a new revision of your service without affecting your customers. You can also use the tag-based URL (e.g., https://dev----booking-engine-abcdef.a.run.app) to access and test the new revision.


NEW QUESTION # 117
......

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