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| Section | Weight | Objectives |
|---|
| Bootstrapping and maintaining a Google Cloud organization | 20% | - Design resource hierarchy
- 1. Plan shared networking and connectivity
- 2. Define IAM policies and access control
- 3. Organize resources by project/folder/application
- Manage configuration and deployment
- 1. Automate resource provisioning
- 2. Enforce consistency across environments
- 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
|
| Building and implementing CI/CD pipelines | 25% | - Optimize and maintain pipelines
- 1. Monitor pipeline performance
- 2. Handle rollbacks and versioning
- 3. Improve speed and reliability
- Implement and secure pipelines
- 1. Manage pipeline secrets and credentials
- 2. Automate build, test, and deployment stages
- 3. Enforce security scanning and compliance checks
- Design CI/CD pipelines
- 1. Support hybrid/multi-cloud deployment
- 2. Integrate artifact management
- 3. Plan pipelines for apps, infrastructure, ML workloads
|
| Optimizing performance and cost | 17% | - Balance cost, performance, and reliability
- 1. Make tradeoff decisions based on data
- 2. Optimize over time
- 3. Plan capacity and scaling
- Apply FinOps practices
- 1. Monitor and analyze cloud costs
- 2. Right-size resources and eliminate waste
- 3. Use spot instances and committed use discounts
- Improve system performance
- 1. Optimize resource allocation
- 2. Tune applications and infrastructure
- 3. Use caching and content delivery
|
| Implementing observability and troubleshooting | 20% | - Build monitoring and logging systems
- 1. Create dashboards and alerts
- 2. Collect and analyze metrics, logs, traces
- 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- Optimize observability strategy
- 1. Integrate observability into development
- 2. Scale monitoring for large environments
- 3. Reduce noise and prioritize signals
- Troubleshoot complex issues
- 1. Analyze performance and latency
- 2. Isolate problems across layers
- 3. Trace requests end-to-end
|
| Applying site reliability engineering practices | 18% | - Design for resilience
- 1. Test failure scenarios and recovery
- 2. Automate remediation and self-healing
- 3. Plan redundancy and fault tolerance
- Define reliability goals
- 1. Use error budgets to balance change and stability
- 2. Establish SLIs, SLOs, SLAs
- 3. Align reliability with business needs
- Manage incidents and outages
- 1. Detect and respond to issues quickly
- 2. Implement improvements to prevent recurrence
- 3. Perform postmortems and root cause analysis
|
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q93-Q98):
NEW QUESTION # 93
You are creating and assigning action items in a postmodern for an outage. The outage is over, but you need to address the root causes. You want to ensure that your team handles the action items quickly and efficiently.
How should you assign owners and collaborators to action items?
- A. Assign one owner for each action item and any necessary collaborators.
- B. Assign multiple owners for each item to guarantee that the team addresses items quickly
- C. Assign the team lead as the owner for all action items because they are in charge of the SRE team.
- D. Assign collaborators but no individual owners to the items to keep the postmortem blameless.
Answer: A
Explanation:
https://devops.com/when-it-disaster-strikes-part-3-conducting-a-blameless-post-mortem/
NEW QUESTION # 94
You built a serverless application by using Cloud Run and deployed the application to your production environment You want to identify the resource utilization of the application for cost optimization What should you do?
- A. Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application
- B. Use Cloud Monitoring to monitor the container CPU and memory utilization of the application
- C. Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application
- D. Use Cloud Trace with distributed tracing to monitor the resource utilization of the application
Answer: D
NEW QUESTION # 95
You are deploying an application to Cloud Run. The application requires a password to start. Your organization requires that all passwords are rotated every 24 hours, and your application must have the latest password. You need to deploy the application with no downtime. What should you do?
- A. Store the password in Secret Manager and mount the secret as a volume within the application.
- B. Store the password in Secret Manager and send the secret to the application by using environment variables.
- C. Store the password directly in the code. Use Cloud Build to rebuild and deploy the application each time the password changes.
- D. Use Cloud Build to add your password into the application container at build time. Ensure that Artifact Registry is secured from public access.
Answer: A
NEW QUESTION # 96
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 Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
- B. 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.
- C. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
- D. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
Answer: C
Explanation:
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html
NEW QUESTION # 97
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 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. - 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 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. - 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: D
NEW QUESTION # 98
......
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