A principal cloud engineer is preparing to deploy an automated data processing pipeline across a cluster of Compute Engine virtual machines in the us-central1 region. During initialization testing, instance creation fails with a QUOTA_EXCEEDED error for N2_CPUS. Upon inspecting the project's Quotas & System Limits page, the engineer confirms that current usage has reached the regional limit of 24 CPUs, but the pipeline requires 64 CPUs to meet SLA requirements. Which action should the engineer take to resolve this limitation following Google Cloud best practices?
- Select the N2_CPUS metric for us-central1 on the Quotas page in the Google Cloud Console, click Edit Quotas, enter the required quota value of 64 along with a justification, and submit the request.Answer
- BIncrease the monthly budget allocation in the Cloud Billing console and configure a Pub/Sub notification threshold to automatically raise regional compute quota caps when spending increases.
- CSubmit a quota adjustment at the parent Organization resource level, because child projects automatically inherit higher regional quota caps defined at the organization root.
- DGrant the primitive Billing Account Editor role to the Compute Engine service account to permit automated bypassing of regional quota thresholds during instance provisioning.
Answer
Select the N2_CPUS metric for us-central1 on the Quotas page in the Google Cloud Console, click Edit Quotas, enter the required quota value of 64 along with a justification, and submit the request.
Google Cloud resource quotas protect users from unexpected spikes in consumption and prevent systemic overload. To increase a quota limit for a specific compute resource like regional N2 CPUs, an administrator must navigate to IAM & Admin > Quotas, select the relevant metric and region, specify the new target limit with a justification, and submit a quota increase request.
Step-by-Step Solution
Key Concept
GCP Resource Quota Management & Request Workflow
Estimated Time:2m 0s