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Zorluk: KolayManaging Resource Quotas, Hierarchies, and Cost Optimization

A DevOps team is preparing to provision additional Compute Engine instances for a seasonal analytics workload in a newly enabled Google Cloud region. Which action should the team take prior to deployment to prevent provisioning failures caused by resource limits?

  1. Evaluate current regional Compute Engine quota limits and request necessary limit increases in advance of provisioning.Cevap
  2. B
    Execute deployment scripts directly without inspecting quotas, assuming regional limits automatically scale during resource creation.
  3. C
    Assign the primitive Owner role to the deployment service account to bypass default regional quota constraints.
  4. D
    Grant the Service Account Admin role to the deployment pipeline account so it can approve runtime quota limit overrides.

Cevap

Evaluating regional Compute Engine quota limits and requesting necessary limit increases prior to provisioning.
Proactively evaluating regional capacity demands and requesting quota adjustments prior to deployment prevents provisioning scripts from failing due to default quota constraints.

Adım Adım Çözüm

1
Assess workload capacity requirements against default project quota allocations in the target region.
Identified potential quota shortfalls prior to deployment.
Default quota limits may not satisfy full workload requirements in a new region.
2
Submit quota increase requests via the Google Cloud Console or Service Usage API ahead of execution.
Quotas are approved and increased by Google Cloud before automated scripts run.
Quota increases require evaluation and processing time by GCP.

Anahtar Kavram

Proactive Service Quotas Management
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