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

SectionWeightObjectives
Reliability and Site Reliability Engineering (SRE)24%- Monitoring and observability
  • 1. Configuring Cloud Monitoring and Logging
  • 2. Setting up alerting policies and incident management
  • 3. Implementing distributed tracing with Cloud Trace
  • 4. Creating dashboards for service health visibility
- Incident management
  • 1. Implementing on-call procedures
  • 2. Configuring automated incident response
  • 3. Post-incident reviews and blameless postmortems
- SLOs, SLIs, and SLAs
  • 1. Creating and interpreting Service Level Indicators
  • 2. Defining and implementing Service Level Objectives
  • 3. Error budget policies and management
  • 4. Setting appropriate Service Level Agreements
CI/CD Pipeline Development26%- Containerization and Docker
  • 1. Managing container registries
  • 2. Creating optimized Docker images (multi-stage builds)
  • 3. Implementing container security best practices
- Designing and implementing CI/CD pipelines
  • 1. Configuring build caching strategies
  • 2. Implementing build automation scripts
  • 3. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
  • 4. Configuring build triggers and webhooks
  • 5. Setting up artifact management with Artifact Registry
- CI/CD best practices
  • 1. Managing secrets in CI/CD pipelines
  • 2. Configuring quality gates and code coverage
  • 3. Implementing shift-left testing
Microservices Architecture14%- Service mesh and networking
  • 1. Implementing Anthos Service Mesh / Istio
  • 2. Configuring traffic management and load balancing
  • 3. Implementing service-to-service authentication
- API management
  • 1. Implementing API versioning strategies
  • 2. Exposing APIs with Cloud Endpoints / Apigee
- Container orchestration with GKE
  • 1. Implementing workload deployment and scaling
  • 2. Managing pod lifecycle and resource quotas
  • 3. Configuring node pools and auto-scaling
  • 4. Designing Kubernetes cluster architectures
Monitoring, Logging, and Debugging12%- Cloud Operations Suite
  • 1. Implementing Cloud Logging with log sinks
  • 2. Creating uptime checks and alerts
  • 3. Configuring Cloud Monitoring metrics
- Debugging and troubleshooting
  • 1. Debugging with Cloud Trace distributed tracing
  • 2. Analyzing performance profiles with Cloud Profiler
  • 3. Using Cloud Debugger and Error Reporting
- Log management
  • 1. Structuring logs for efficient querying
  • 2. Configuring log retention policies
  • 3. Implementing log-based metrics
Cloud Infrastructure Automation24%- Configuration management
  • 1. Using Ansible for configuration management
  • 2. Implementing configuration drift detection
  • 3. Managing secrets with Secret Manager
- Deployment strategies
  • 1. Canary releases and progressive rollouts
  • 2. Feature flags with Firebase Remote Config or LaunchDarkly
  • 3. Rolling updates with Kubernetes
  • 4. Blue-green deployments
- Infrastructure as Code (IaC)
  • 1. Implementing with Terraform
  • 2. Managing infrastructure modules and state
  • 3. Implementing immutable infrastructure patterns

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q188-Q193):

NEW QUESTION # 188
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

Answer: A


NEW QUESTION # 189
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

Answer: D


NEW QUESTION # 190
Your application's performance in Google Cloud has degraded since the last release. You suspect that downstream dependencies might be causing some requests to take longer to complete. You need to investigate the issue with your application to determine the cause. What should you do?

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
Google Cloud Trace is specifically designed to analyze request latency and identify performance bottlenecks across services. Since the issue is related to slow performance after a new release, the best approach is to use Cloud Trace to:
Visualize request latency across services
Pinpoint slow dependencies affecting response time
Analyze performance trends over time
#Why not other options?
B (Error Reporting)## Focuses on uncaught exceptions and crashes, not latency issues.
C (Cloud Profiler)## Helps with CPU and memory analysis, not request tracing.
D (Prometheus for Cloud Monitoring)## Useful for metrics collection, but not ideal for debugging specific request latency issues.
#Official Reference:
Google Cloud Trace Overview


NEW QUESTION # 191
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: A


NEW QUESTION # 192
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.
disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?

Answer: A

Explanation:
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.


NEW QUESTION # 193
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