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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q84-Q89):

NEW QUESTION # 84
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. 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.
B. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
C. 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.
D. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.

Answer: C

Explanation:
Explanation
"A Project can host many Projects and appear in many Projects, but it can only be used as the scoping project once. We recommend that you create a new Project for the purpose of having multiple Projects in the same scope."

NEW QUESTION # 85
You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?

A. Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
B. File a bug with the development team so they can find the root cause of the crashing instance.
C. Create a Managed Instance Group with a single instance and use health checks to determine the system status.
D. Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.

Answer: C

NEW QUESTION # 86
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

A. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day. confirm that all changes have been captured in the files within the folder structure.* Rename the folder structure with a predefined naming convention that increments the version.
B. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.
C. * Store your code in a Git-based version control system.* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.* Establish a process where the fully integrated code in the repository becomes the latest master version.
D. * Store your code in a Git-based version control system.* Establish a process that allows developers to merge their own changes at the end of each day.* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.

Answer: C

NEW QUESTION # 87
You support a user-facing web application When analyzing the application's error budget over the previous six months you notice that the application never consumed more than 5% of its error budget You hold a SLO review with business stakeholders and confirm that the SLO is set appropriately You want your application's reliability to more closely reflect its SLO What steps can you take to further that goal while balancing velocity, reliability, and business needs?
Choose 2 answers

A. Tighten the SLO to match the application's observed reliability
B. Announce planned downtime to consume more error budget and ensure that users are not depending on a tighter SLO
C. Add more serving capacity to all of your application's zones
D. Implement and measure all other available SLIs for the application
E. Have more frequent or potentially risky application releases

Answer: A,E

Explanation:
Explanation
The best options for furthering your application's reliability goal while balancing velocity, reliability, and business needs are to have more frequent or potentially risky application releases and to tighten the SLO to match the application's observed reliability. Having more frequent or potentially risky application releases can help you increase the change velocity and deliver new features faster. However, this also increases the likelihood of consuming more error budget and reducing the reliability of your service. Therefore, you should monitor your error budget consumption and adjust your release policies accordingly. For example, you can freeze or slow down releases when the error budget is low, or accelerate releases when the error budget is high. Tightening the SLO to match the application's observed reliability can help you align your service quality with your users' expectations and business needs. However, this also means that you have less room for error and need to maintain a higher level of reliability. Therefore, you should ensure that your SLO is realistic and achievable, and that you have sufficient engineering resources and processes to meet it.

NEW QUESTION # 88
You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

A. Scale the new Kubernetes Deployment to zero
B. Run the kubectl rollout undo command
C. Update the Kubernetes Service to point to the previous Kubernetes Deployment
D. Delete the new container image, and delete the running Pods

Answer: C

NEW QUESTION # 89
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