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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q127-Q132):

NEW QUESTION # 127
Your application images are built wing 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 would you do when you push the image?

A. Supply the source control tag as a parameter within the image name.
B. Use GCR digest versioning to match the image to the tag in source control.
C. Reference the image digest in the source control tag.
D. Use Cloud Build to include the release version tag in the application image.

Answer: D

NEW QUESTION # 128
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

A. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
B. Ensure that test cases that catch errors of this type are run successfully before new software releases.
C. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
D. Identify engineers responsible for the incident and escalate to their senior management.

Answer: C

NEW QUESTION # 129
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?

A. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.
B. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
C. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
D. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.

Answer: D

NEW QUESTION # 130
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?

A. Set up the Kubernetes Engine clusters as private clusters.
B. Enable Vulnerability Analysis on the Container Registry.
C. Enable Cloud Security Scanner on the clusters.
D. Set up the Kubernetes Engine clusters with Binary Authorization.

Answer: D

Explanation:
Explanation
https://cloud.google.com/binary-authorization/docs/overview

NEW QUESTION # 131
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?

A. djust the SLO targets to be achievable by the service so you can bring it into production.
B. Notify the development team that they will have to provide production support for the service.
C. Bring the service into production with no SLOs and build them when you have collected operational data.
D. Identify recommended reliability improvements to the service to be completed before handover.

Answer: D

NEW QUESTION # 132
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