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Difficulty: MediumManaging Compute Engine Resources

An Associate Cloud Engineer is managing a specialized analytics application deployed on a Compute Engine virtual machine in the us-central1-a zone. To process a new data pipeline, the engineer updates the VM configuration to attach an NVIDIA GPU. When attempting to start the VM, the operation fails with a QUOTA_EXCEEDED error for GPU resources in that zone. The application must remain in us-central1-a due to strict low-latency requirements with adjacent infrastructure. Which action should the engineer take to resolve this issue following Google-recommended practices?

  1. Submit a quota increase request for the required GPU resource type in the us-central1 region via the Google Cloud Console.Answer
  2. B
    Deploy an additional VM in another region and peer the VPC networks to bypass the local zonal GPU limit without requesting additional allocation.
  3. C
    Change the VM provisioning model to a Spot VM instance to automatically bypass GPU quota restrictions.
  4. D
    Grant the primitive Owner role to the Compute Engine default service account so that instance startup operations bypass project quota checks.

Answer

Submit a quota increase request for the required GPU resource type in the us-central1 region via the Google Cloud Console.
When a Compute Engine instance fails to launch due to a QUOTA_EXCEEDED error, the official Google Cloud practice is to request a quota limit increase via the Cloud Console Quotas page or gcloud CLI. This allows Google Cloud to evaluate the request and raise the limit for the target region.

Step-by-Step Solution

1
Identify the root cause of the VM startup failure
The failure is caused by exceeding the project quota allocation for GPUs in the specified zone.
Google Cloud enforces quotas to prevent unexpected resource consumption and ensure system stability.
2
Evaluate workload architectural constraints
The VM must stay within us-central1-a due to latency dependencies.
Moving the instance to another zone or region is restricted by architectural requirements.
3
Request a quota increase
Submit a quota increase request through the Quotas page in the Google Cloud Console for GPU resources in the us-central1 region.
Submitting a formal request is the standard procedure to obtain additional capacity from Google Cloud.

Key Concept

Managing Compute Engine Quotas and Zonal Resource Allocations
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Topics

Managing Compute Engine Resources

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