A lead data architect is deploying a large-scale real-time telemetry processing pipeline in a Google Cloud project. The workload requires expanding compute capacity by 200 N2 series virtual CPUs in the `us-east4` region. During initial automated provisioning, the deployment fails because the requested capacity exceeds the region's current resource threshold. What action should the architect take to resolve this provisioning failure using standard Google Cloud procedures?
- Navigate to the Quotas page in the Google Cloud Console, select the N2 CPUs quota for the target region, and submit an increase request.Cevap
- BDeploy the remaining workload across multiple newly created GCP projects to bypass the regional limit without requesting adjustment.
- CIncrease the linked Cloud Billing account spend limit to automatically trigger a quota auto-scaling adjustment by Google Cloud.
- DGrant the deployment service account the Organization Policy Administrator role to override the regional resource limit at runtime.
Cevap
Submit a formal quota increase request for N2 CPUs in the specified region via the Cloud Console Quotas interface.
The standard procedure for managing resource constraints in Google Cloud is to request a quota increase through the IAM & Admin Quotas section of the Cloud Console (or via Cloud API/CLI). This allows Google Cloud to review the request and raise the project's regional resource limit.
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Anahtar Kavram
Requesting GCP regional resource quota increases