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

Section	Weight	Objectives
Cloud Infrastructure Automation	24%	- Infrastructure as Code (IaC) 1. Implementing with Terraform 2. Managing infrastructure modules and state 3. Implementing immutable infrastructure patterns - Deployment strategies 1. Feature flags with Firebase Remote Config or LaunchDarkly 2. Canary releases and progressive rollouts 3. Rolling updates with Kubernetes 4. Blue-green deployments - 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. Creating dashboards for service health visibility 2. Implementing distributed tracing with Cloud Trace 3. Configuring Cloud Monitoring and Logging 4. Setting up alerting policies and incident management - 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 - Incident management 1. Post-incident reviews and blameless postmortems 2. Configuring automated incident response 3. Implementing on-call procedures
CI/CD Pipeline Development	26%	- Containerization and Docker 1. Creating optimized Docker images (multi-stage builds) 2. Managing container registries 3. Implementing container security best practices - Designing and implementing CI/CD pipelines 1. Configuring build caching strategies 2. Configuring build triggers and webhooks 3. Setting up artifact management with Artifact Registry 4. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 5. Implementing build automation scripts - CI/CD best practices 1. Configuring quality gates and code coverage 2. Managing secrets in CI/CD pipelines 3. Implementing shift-left testing
Microservices Architecture	14%	- API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies - Service mesh and networking 1. Configuring traffic management and load balancing 2. Implementing service-to-service authentication 3. Implementing Anthos Service Mesh / Istio - Container orchestration with GKE 1. Configuring node pools and auto-scaling 2. Managing pod lifecycle and resource quotas 3. Designing Kubernetes cluster architectures 4. Implementing workload deployment and scaling
Monitoring, Logging, and Debugging	12%	- 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. Implementing log-based metrics 3. Configuring log retention policies - Cloud Operations Suite 1. Creating uptime checks and alerts 2. Configuring Cloud Monitoring metrics 3. Implementing Cloud Logging with log sinks

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q105-Q110):

NEW QUESTION # 105
As part of your company's initiative to shift left on security, the infoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images You need to determine how to satisfy the InfoSec teams goal of shifting left on security. What should you do?

A. Use Binary Authorization to attest images during your CI CD pipeline
B. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
C. Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters
D. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods

Answer: A

Explanation:
The best option for implementing guard rails on all GKE clusters to only allow the deployment of trusted and approved images is to use Binary Authorization to attest images during your CI/CD pipeline. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization to create policies that specify which images are allowed or denied in your GKE clusters. You can also use Binary Authorization to attest images during your CI/CD pipeline by using tools such as Container Analysis or third-party integrations. An attestation is a digital signature that certifies that an image meets certain criteria, such as passing vulnerability scans or code reviews. By using Binary Authorization to attest images during your CI/CD pipeline, you can ensure that only trusted and approved images are deployed to your GKE clusters.

NEW QUESTION # 106
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?

A. Implement static code analysis tooling against the Docker files used to create the containers.
B. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
C. Reconfigure the existing operating system vulnerability software to exist inside the container.
D. Configure the containers in the build pipeline to always update themselves before release.

Answer: B

NEW QUESTION # 107
Your company recently migrated to Google Cloud. You need to design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. What should you do?

A. Use the Google Cloud console to create projects.
B. Write a script by using the gcloud CLI that passes the appropriate parameters from the request. Save the script in a Git repository.
C. Use the Terraform repositories from the Cloud Foundation Toolkit. Apply the code with appropriate parameters to create the Google Cloud project and related resources.
D. Write a Terraform module and save it in your source control repository. Copy and run the apply command to create the new project.

Answer: C

Explanation:
Explanation
Terraform is an open-source tool that allows you to define and provision infrastructure as code1. Terraform can be used to create and manage Google Cloud resources, such as projects, networks, and services2. The Cloud Foundation Toolkit is a set of open-source Terraform modules and tools that provide best practices and guidance for deploying Google Cloud infrastructure3. The Cloud Foundation Toolkit includes Terraform repositories for creating Google Cloud projects and related resources, such as IAM policies, APIs, service accounts, and billing4. By using the Terraform repositories from the Cloud Foundation Toolkit, you can design a fast, reliable, and repeatable solution for your company to provision new projects and basic resources in Google Cloud. You can also customize the Terraform code to suit your specific needs and preferences.

NEW QUESTION # 108
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. 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 read access to all GCP production projects. Create Stackdriver workspaces inside each project.
D. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.

Answer: A

NEW QUESTION # 109
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need measure application reliability from a user perspective without making any engineering changes to it. What should you do? (Choose two.)

A. Use current and historic Request Logs to trace customer interaction with the application.
B. Modify the code to capture additional information for user interaction.
C. Create new synthetic clients to simulate a user journey using the application.
D. Review current application metrics and add new ones as needed.
E. Analyze the web proxy logs only and capture response time of each request.

Answer: B,C

NEW QUESTION # 110
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