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

Section	Weight	Objectives
Building and implementing CI/CD pipelines	25%	- Implement and secure pipelines 1. Manage pipeline secrets and credentials 2. Enforce security scanning and compliance checks 3. Automate build, test, and deployment stages - Design CI/CD pipelines 1. Plan pipelines for apps, infrastructure, ML workloads 2. Support hybrid/multi-cloud deployment 3. Integrate artifact management - Optimize and maintain pipelines 1. Improve speed and reliability 2. Monitor pipeline performance 3. Handle rollbacks and versioning
Bootstrapping and maintaining a Google Cloud organization	20%	- Design resource hierarchy 1. Define IAM policies and access control 2. Organize resources by project/folder/application 3. Plan shared networking and connectivity - Manage configuration and deployment 1. Enforce consistency across environments 2. Automate resource provisioning 3. Use Infrastructure as Code tools - Set up governance and compliance 1. Configure audit logging and monitoring 2. Implement organization policies 3. Manage resource quotas and limits
Optimizing performance and cost	17%	- Apply FinOps practices 1. Right-size resources and eliminate waste 2. Use spot instances and committed use discounts 3. Monitor and analyze cloud costs - Improve system performance 1. Optimize resource allocation 2. Tune applications and infrastructure 3. Use caching and content delivery - Balance cost, performance, and reliability 1. Plan capacity and scaling 2. Optimize over time 3. Make tradeoff decisions based on data
Applying site reliability engineering practices	18%	- Manage incidents and outages 1. Detect and respond to issues quickly 2. Implement improvements to prevent recurrence 3. Perform postmortems and root cause analysis - Define reliability goals 1. Establish SLIs, SLOs, SLAs 2. Use error budgets to balance change and stability 3. Align reliability with business needs - Design for resilience 1. Test failure scenarios and recovery 2. Automate remediation and self-healing 3. Plan redundancy and fault tolerance
Implementing observability and troubleshooting	20%	- Build monitoring and logging systems 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace 2. Collect and analyze metrics, logs, traces 3. Create dashboards and alerts - Optimize observability strategy 1. Scale monitoring for large environments 2. Integrate observability into development 3. Reduce noise and prioritize signals - Troubleshoot complex issues 1. Analyze performance and latency 2. Trace requests end-to-end 3. Isolate problems across layers

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2026 Professional-Cloud-DevOps-Engineer Latest Exam: Google Cloud Certified - Professional Cloud DevOps Engineer Exam - High Pass-Rate Google Professional-Cloud-DevOps-Engineer Valid Exam Pdf

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?

A. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
B. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
C. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
D. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.

Answer: B

NEW QUESTION # 45
You are deploying a Cloud Build job that deploys Terraform code when a Git branch is updated. While testing, you noticed that the job fails. You see the following error in the build logs:
Initializing the backend. ..
Error: Failed to get existing workspaces : querying Cloud Storage failed: googleapi : Error
403
You need to resolve the issue by following Google-recommended practices. What should you do?

A. Grant the roles/ owner Identity and Access Management (IAM) role to the Cloud Build service account on the project.
B. Create a storage bucket with the name specified in the Terraform configuration.
C. Grant the roles/ storage. objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.
D. Change the Terraform code to use local state.

Answer: C

Explanation:
The correct answer is D. Grant the roles/storage.objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.
According to the Google Cloud documentation, Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure1. Cloud Build uses a service account to execute your build steps and access resources, such as Cloud Storage buckets2. Terraform is an open-source tool that allows you to define and provision infrastructure as code3. Terraform uses a state file to store and track the state of your infrastructure4. You can configure Terraform to use a Cloud Storage bucket as a backend to store and share the state file across multiple users or environments5.
The error message indicates that Cloud Build failed to access the Cloud Storage bucket that contains the Terraform state file. This is likely because the Cloud Build service account does not have the necessary permissions to read and write objects in the bucket. To resolve this issue, you need to grant the roles/storage.
objectAdmin IAM role to the Cloud Build service account on the state file bucket. This role allows the service account to create, delete, and manage objects in the bucket6. You can use the gcloud command-line tool or the Google Cloud Console to grant this role.
The other options are incorrect because they do not follow Google-recommended practices. Option A is incorrect because it changes the Terraform code to use local state, which is not recommended for production or collaborative environments, as it can cause conflicts, data loss, or inconsistency. Option B is incorrect because it creates a new storage bucket with the name specified in the Terraform configuration, but it does not grant any permissions to the Cloud Build service account on the new bucket. Option C is incorrect because it grants the roles/owner IAM role to the Cloud Build service account on the project, which is too broad and violates the principle of least privilege. The roles/owner role grants full access to all resources in the project, which can pose a security risk if misused or compromised.

NEW QUESTION # 46
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

A. Migrate the instances to a Managed Instance Group.
B. Convert the instances to preemptible virtual machines.
C. Create an Unmanaged Instance Group for the instances used to run the workload.
D. Purchase Committed Use Discounts.

Answer: C

NEW QUESTION # 47
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

A. Recreate deployment and canary testing
B. Rolling update deployment and shadow testing
C. Rolling update deployment and A/B testing
D. Blue/green deployment and canary testing

Answer: D

Explanation:
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 48
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 Terraform module and save it in your source control repository. Copy and run the apply command to create the new project.
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 script by using the gcloud CLI that passes the appropriate parameters from the request. Save the script in a Git repository.

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 # 49
......

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