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

Section	Weight	Objectives
Topic 1: Monitoring, Logging, and Debugging	12%	- Debugging and troubleshooting 1. Analyzing performance profiles with Cloud Profiler 2. Debugging with Cloud Trace distributed tracing 3. Using Cloud Debugger and Error Reporting - Log management 1. Structuring logs for efficient querying 2. Implementing log-based metrics 3. Configuring log retention policies - Cloud Operations Suite 1. Configuring Cloud Monitoring metrics 2. Creating uptime checks and alerts 3. Implementing Cloud Logging with log sinks
Topic 2: Cloud Infrastructure Automation	24%	- Deployment strategies 1. Blue-green deployments 2. Rolling updates with Kubernetes 3. Canary releases and progressive rollouts 4. Feature flags with Firebase Remote Config or LaunchDarkly - Infrastructure as Code (IaC) 1. Implementing immutable infrastructure patterns 2. Implementing with Terraform 3. Managing infrastructure modules and state - Configuration management 1. Implementing configuration drift detection 2. Managing secrets with Secret Manager 3. Using Ansible for configuration management
Topic 3: Reliability and Site Reliability Engineering (SRE)	24%	- SLOs, SLIs, and SLAs 1. Error budget policies and management 2. Creating and interpreting Service Level Indicators 3. Defining and implementing Service Level Objectives 4. Setting appropriate Service Level Agreements - Monitoring and observability 1. Configuring Cloud Monitoring and Logging 2. Implementing distributed tracing with Cloud Trace 3. Setting up alerting policies and incident management 4. Creating dashboards for service health visibility - Incident management 1. Post-incident reviews and blameless postmortems 2. Configuring automated incident response 3. Implementing on-call procedures
Topic 4: CI/CD Pipeline Development	26%	- Designing and implementing CI/CD pipelines 1. Configuring build triggers and webhooks 2. Configuring build caching strategies 3. Implementing build automation scripts 4. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 5. Setting up artifact management with Artifact Registry - Containerization and Docker 1. Managing container registries 2. Creating optimized Docker images (multi-stage builds) 3. Implementing container security best practices - CI/CD best practices 1. Implementing shift-left testing 2. Managing secrets in CI/CD pipelines 3. Configuring quality gates and code coverage
Topic 5: Microservices Architecture	14%	- API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies - Container orchestration with GKE 1. Configuring node pools and auto-scaling 2. Designing Kubernetes cluster architectures 3. Managing pod lifecycle and resource quotas 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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q153-Q158):

NEW QUESTION # 153
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

A. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
B. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
C. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
D. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.

Answer: A

NEW QUESTION # 154
You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?

A. Deploy a new release to see whether it fixes the problem.
B. Review the Stackdriver monitoring.
C. Upsize the virtual machines running the login services.
D. Roll back the recent release.

Answer: C

NEW QUESTION # 155
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
B. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
C. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
D. Configure Access Context Manager to allow only these members to export logs.

Answer: A

Explanation:
https://cloud.google.com/logging/docs/access-control

NEW QUESTION # 156
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A. Create a cron job to terminate any Pods that have been running for more than five hours
B. Monitor the Pods and terminate any Pods that have been running for more than five hours
C. Configure an alert to notify you whenever a Pod returns 403 errors
D. Add a HTTP liveness probe to the microservice s deployment

Answer: D

Explanation:
The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice's deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice's deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.

NEW QUESTION # 157
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
B. Use Cloud Build to trigger a Spinnaker pipeline.
C. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Answer: D

NEW QUESTION # 158
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