An enterprise financial service relies on automated scripts to provision a temporary managed instance group (MIG) of Compute Engine virtual machines every midnight to process end-of-day ledger reconciliations. During scale testing for an upcoming release requiring N2 vCPUs in the `us-central1` region, the deployment script fails to scale up beyond vCPUs, despite using valid credentials and validated Infrastructure as Code templates. Which action should the Cloud Architect take to resolve this provisioning failure?
- Request a regional N2 vCPU quota increase for `us-central1` through Cloud Quotas before running the large-scale batch workload.Cevap
- BGrant the deployment service account the Service Account Admin role to bypass regional resource provisioning boundaries.
- CMigrate the batch reconciliation script into a Google Kubernetes Engine cluster to eliminate Compute Engine vCPU quota restrictions.
- DAssign the primitive Project Owner role to the instance template's service account to unlock unrestricted instance creation capability.
Cevap
Request a regional N2 vCPU quota increase for `us-central1` through Cloud Quotas before running the large-scale batch workload.
The correct answer correctly identifies that Google Cloud projects have default regional quotas for machine families (such as N2 vCPUs). When automated provisioning fails at a specific numeric ceiling despite correct IAM permissions and IaC code, the limiting factor is regional quota. Proactively requesting a quota increase for the target region resolves the provisioning ceiling.
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Anahtar Kavram
Compute Engine Regional Resource Quotas