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

SectionWeightObjectives
Topic 1: Bootstrapping and maintaining a Google Cloud organization20%- 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. Implement organization policies
  • 2. Configure audit logging and monitoring
  • 3. Manage resource quotas and limits
- Design resource hierarchy
  • 1. Plan shared networking and connectivity
  • 2. Define IAM policies and access control
  • 3. Organize resources by project/folder/application
Topic 2: Building and implementing CI/CD pipelines25%- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Monitor pipeline performance
  • 3. Improve speed and reliability
- 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. Integrate artifact management
  • 2. Plan pipelines for apps, infrastructure, ML workloads
  • 3. Support hybrid/multi-cloud deployment
Topic 3: Optimizing performance and cost17%- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Use caching and content delivery
  • 3. Optimize resource allocation
- Apply FinOps practices
  • 1. Use spot instances and committed use discounts
  • 2. Right-size resources and eliminate waste
  • 3. Monitor and analyze cloud costs
- Balance cost, performance, and reliability
  • 1. Make tradeoff decisions based on data
  • 2. Plan capacity and scaling
  • 3. Optimize over time
Topic 4: Implementing observability and troubleshooting20%- 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
- Troubleshoot complex issues
  • 1. Isolate problems across layers
  • 2. Trace requests end-to-end
  • 3. Analyze performance and latency
- Optimize observability strategy
  • 1. Reduce noise and prioritize signals
  • 2. Scale monitoring for large environments
  • 3. Integrate observability into development
Topic 5: Applying site reliability engineering practices18%- Design for resilience
  • 1. Automate remediation and self-healing
  • 2. Plan redundancy and fault tolerance
  • 3. Test failure scenarios and recovery
- 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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

Answer: D

Explanation:
https://sre.google/sre-book/managing-incidents/


NEW QUESTION # 36
You work for a global organization and run a service with an availability target of 99% with limited engineering resources. For the current calendar month you noticed that the service has 99 5% availability. You must ensure that your service meets the defined availability goals and can react to business changes including the upcoming launch of new features You also need to reduce technical debt while minimizing operational costs You want to follow Google-recommended practices What should you do?

Answer: C


NEW QUESTION # 37
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

Answer: A


NEW QUESTION # 38
You are currently planning how to display Cloud Monitoring metrics for your organization's Google Cloud projects. Your organization has three folders and six projects:

You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?

Answer: D

Explanation:
Explanation
The best option for configuring Cloud Monitoring dashboards to only display metrics from the projects within one folder is to create new scoping projects for each folder. A scoping project is a project that defines which resources are monitored by Cloud Monitoring. You can create new scoping projects for each folder by using the gcloud monitoring register-project command. This way, you can associate each scoping project with a folder and only monitor the resources within that folder. You can then configure Cloud Monitoring dashboards to use the scoping projects as data sources and only display metrics from the projects within one folder.


NEW QUESTION # 39
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster.
The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

Answer: B

Explanation:
Explanation
The Standard Tier network service offers lower network costs than the Premium Tier. This is the correct option to reduce the network cost for the application3.


NEW QUESTION # 40
......

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