Question

Difficulty: MediumEnabling and Managing Cloud Service APIs

A financial analytics team is deploying batch processing workloads to a project named `hpc-simulations-prod`. The Compute Engine API is already enabled for the project, but automated deployment scripts fail when attempting to provision additional virtual machines, returning an error stating that regional vCPU limits have been exceeded. Which action should the cloud administrator take to resolve this issue?

  1. Submit a formal quota increase request for regional vCPUs through the Cloud Console Quotas page.Answer
  2. B
    Enable the Compute Engine API at the parent folder resource level to inherit expanded organization quota.
  3. C
    Grant the primitive Owner role to the deployment service account to bypass resource quota enforcement.
  4. D
    Disable and re-enable the Compute Engine API within the project to reset the usage baseline counters.

Answer

Submit a formal quota increase request for regional vCPUs through the Cloud Console Quotas page.
When a Google Cloud service API is already enabled but resource creation fails due to quota boundaries (such as regional vCPU limits), the administrator must request a quota increase through the Cloud Console or gcloud service-usage quota commands. Quotas protect against unexpected consumption and are managed separately from API enablement status.

Step-by-Step Solution

1
Identify the root cause of the deployment failure
Recognize that the API is enabled, but the project has reached its maximum allocated quota for regional vCPUs.
API enablement allows usage of a service, but resource usage remains subject to project quota limits.
2
Select the correct Google Cloud quota management workflow
Navigate to IAM & Admin > Quotas (or Service Usage Quotas) and request an increased limit for the specific region.
Quota increases must be reviewed and approved by Google Cloud or granted automatically based on billing history.

Key Concept

Managing Cloud Service Resource Quotas and API Allocation
Estimated Time:1m 30s
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