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| Section | Weight | Objectives |
|---|
| Optimizing performance and cost | 17% | - Balance cost, performance, and reliability
- 1. Make tradeoff decisions based on data
- 2. Plan capacity and scaling
- 3. Optimize over time
- Apply FinOps practices
- 1. Monitor and analyze cloud costs
- 2. Use spot instances and committed use discounts
- 3. Right-size resources and eliminate waste
- Improve system performance
- 1. Optimize resource allocation
- 2. Tune applications and infrastructure
- 3. Use caching and content delivery
|
| 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
- Optimize and maintain pipelines
- 1. Improve speed and reliability
- 2. Monitor pipeline performance
- 3. Handle rollbacks and versioning
- Design CI/CD pipelines
- 1. Integrate artifact management
- 2. Support hybrid/multi-cloud deployment
- 3. Plan pipelines for apps, infrastructure, ML workloads
|
| Bootstrapping and maintaining a Google Cloud organization | 20% | - Design resource hierarchy
- 1. Plan shared networking and connectivity
- 2. Organize resources by project/folder/application
- 3. Define IAM policies and access control
- Set up governance and compliance
- 1. Implement organization policies
- 2. Configure audit logging and monitoring
- 3. Manage resource quotas and limits
- Manage configuration and deployment
- 1. Automate resource provisioning
- 2. Use Infrastructure as Code tools
- 3. Enforce consistency across environments
|
| Applying site reliability engineering practices | 18% | - Define reliability goals
- 1. Align reliability with business needs
- 2. Establish SLIs, SLOs, SLAs
- 3. Use error budgets to balance change and stability
- Manage incidents and outages
- 1. Perform postmortems and root cause analysis
- 2. Implement improvements to prevent recurrence
- 3. Detect and respond to issues quickly
- Design for resilience
- 1. Automate remediation and self-healing
- 2. Test failure scenarios and recovery
- 3. Plan redundancy and fault tolerance
|
| Implementing observability and troubleshooting | 20% | - Optimize observability strategy
- 1. Integrate observability into development
- 2. Reduce noise and prioritize signals
- 3. Scale monitoring for large environments
- Troubleshoot complex issues
- 1. Isolate problems across layers
- 2. Analyze performance and latency
- 3. Trace requests end-to-end
- Build monitoring and logging systems
- 1. Collect and analyze metrics, logs, traces
- 2. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- 3. Create dashboards and alerts
|
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q142-Q147):
NEW QUESTION # 142
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?
- A. flex/connections/current
- B. tcp_ssl_proxy/new_connections
- C. flex/instance/connections/current
- D. tcp_ssl_proxy/open_connections
Answer: A
NEW QUESTION # 143
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?
- A. Compare the canary with the existing deployment of the current production version.
- B. Compare the canary with a new deployment of the previous production version.
- C. Compare the canary with a new deployment of the current production version.
- D. Compare the canary with the average performance of a sliding window of previous production versions.
Answer: D
NEW QUESTION # 144
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?
- A. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
- B. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
- C. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
- D. Reroute the user traffic from the affected region to other regions that don't report issues.
Answer: A
NEW QUESTION # 145
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. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
- C. 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.
- D. 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.
Answer: D
NEW QUESTION # 146
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. Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.
- B. Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
- C. Create a Managed Instance Group with a single instance and use health checks to determine the system status.
- D. File a bug with the development team so they can find the root cause of the crashing instance.
Answer: B
NEW QUESTION # 147
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