PROFESSIONAL-CLOUD-DEVOPS-ENGINEER · Question #134
PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Question #134: Real Exam Question with Answer & Explanation
The correct answer is D: Validate that the resource requirements are within the available project quota limits of each. When deploying a new multi-regional service with high resource requirements per instance and planning for capacity, it is essential to validate that the resource needs are within the project's quota limits in each target region.
Question
You need to deploy a new service to production. The service needs to automatically scale using a managed instance group and should be deployed across multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?
Options
- AMonitor results of Cloud Trace to determine the optimal sizing.
- BUse the n2-highcpu-96 machine type in the configuration of the managed instance group.
- CDeploy the service in multiple regions and use an internal load balancer to route traffic.
- DValidate that the resource requirements are within the available project quota limits of each
Explanation
When deploying a new multi-regional service with high resource requirements per instance and planning for capacity, it is essential to validate that the resource needs are within the project's quota limits in each target region.
Common mistakes.
- A. Cloud Trace is a tool for performance analysis and optimization after a service is running, not for initial capacity planning related to fundamental resource availability or quotas.
- B. Selecting a specific machine type is part of the design, but it does not address the broader capacity planning need to ensure enough of these resources are available within project quotas.
- C. This describes a deployment architecture (multi-regional deployment with load balancing) but does not address the specific capacity planning challenge of ensuring the necessary resources are available within project limits.
Concept tested. Capacity planning, resource quotas
Reference. https://cloud.google.com/docs/quotas
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