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

SectionWeightObjectives
Optimizing performance and cost17%- Apply FinOps practices
  • 1. Monitor and analyze cloud costs
  • 2. Right-size resources and eliminate waste
  • 3. Use spot instances and committed use discounts
- Balance cost, performance, and reliability
  • 1. Optimize over time
  • 2. Plan capacity and scaling
  • 3. Make tradeoff decisions based on data
- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Optimize resource allocation
  • 3. Use caching and content delivery
Implementing observability and troubleshooting20%- 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
- Troubleshoot complex issues
  • 1. Isolate problems across layers
  • 2. Trace requests end-to-end
  • 3. Analyze performance and latency
- Optimize observability strategy
  • 1. Scale monitoring for large environments
  • 2. Reduce noise and prioritize signals
  • 3. Integrate observability into development
Building and implementing CI/CD pipelines25%- Design CI/CD pipelines
  • 1. Plan pipelines for apps, infrastructure, ML workloads
  • 2. Support hybrid/multi-cloud deployment
  • 3. Integrate artifact management
- Implement and secure pipelines
  • 1. Enforce security scanning and compliance checks
  • 2. Automate build, test, and deployment stages
  • 3. Manage pipeline secrets and credentials
- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Improve speed and reliability
  • 3. Monitor pipeline performance
Applying site reliability engineering practices18%- Manage incidents and outages
  • 1. Detect and respond to issues quickly
  • 2. Perform postmortems and root cause analysis
  • 3. Implement improvements to prevent recurrence
- Define reliability goals
  • 1. Use error budgets to balance change and stability
  • 2. Establish SLIs, SLOs, SLAs
  • 3. Align reliability with business needs
- Design for resilience
  • 1. Automate remediation and self-healing
  • 2. Test failure scenarios and recovery
  • 3. Plan redundancy and fault tolerance
Bootstrapping and maintaining a Google Cloud organization20%- Set up governance and compliance
  • 1. Configure audit logging and monitoring
  • 2. Manage resource quotas and limits
  • 3. Implement organization policies
- Design resource hierarchy
  • 1. Define IAM policies and access control
  • 2. Plan shared networking and connectivity
  • 3. Organize resources by project/folder/application
- Manage configuration and deployment
  • 1. Use Infrastructure as Code tools
  • 2. Automate resource provisioning
  • 3. Enforce consistency across environments

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Associate Google Professional-Cloud-DevOps-Engineer Level Exam & Professional-Cloud-DevOps-Engineer Reliable Braindumps Questions

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q83-Q88):

NEW QUESTION # 83
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

Answer: A


NEW QUESTION # 84
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

Answer: B,C


NEW QUESTION # 85
You need to enforce several constraint templates across your Google Kubernetes Engine (GKE) clusters. The constraints include policy parameters, such as restricting the Kubernetes API. You must ensure that the policy parameters are stored in a GitHub repository and automatically applied when changes occur. What should you do?

Answer: A

Explanation:
The correct answer is C. Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change.
According to the web search results, Anthos Config Management is a service that lets you manage the configuration of your Google Kubernetes Engine (GKE) clusters from a single source of truth, such as a GitHub repository1. Anthos Config Management can enforce several constraint templates across your GKE clusters by using Policy Controller, which is a feature that integrates the Open Policy Agent (OPA) Constraint Framework into Anthos Config Management2. Policy Controller can apply constraints that include policy parameters, such as restricting the Kubernetes API3. To use Anthos Config Management and Policy Controller, you need to configure them with your GitHub repository and enable the sync mode4. When there is a change in the repository, Anthos Config Management will automatically sync and apply the change to your GKE clusters5.
The other options are incorrect because they do not use Anthos Config Management and Policy Controller. Option A is incorrect because it uses a GitHub action to trigger Cloud Build, which is a service that executes your builds on Google Cloud Platform infrastructure6. Cloud Build can run a gcloud CLI command to apply the change, but it does not use Anthos Config Management or Policy Controller. Option B is incorrect because it uses a web hook to send a request to Anthos Service Mesh, which is a service that provides a uniform way to connect, secure, monitor, and manage microservices on GKE clusters7. Anthos Service Mesh can apply the change, but it does not use Anthos Config Management or Policy Controller. Option D is incorrect because it uses Config Connector, which is a service that lets you manage Google Cloud resources through Kubernetes configuration. Config Connector can apply the change, but it does not use Anthos Config Management or Policy Controller.
Reference:
Anthos Config Management documentation, Overview. Policy Controller, Policy Controller. Constraint template library, Constraint template library. Installing Anthos Config Management, Installing Anthos Config Management. Syncing configurations, Syncing configurations. Cloud Build documentation, Overview. Anthos Service Mesh documentation, Overview. [Config Connector documentation], Overview.


NEW QUESTION # 86
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

Answer: D

Explanation:
https://sre.google/sre-book/service-level-objectives/


NEW QUESTION # 87
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

Answer: B


NEW QUESTION # 88
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