An enterprise organization is restructuring its Google Cloud resource hierarchy to support autonomous engineering teams across multiple regional projects. The Cloud Architecture team needs to implement centralized cost tracking and prevent service disruptions caused by regional Compute Engine quota limits. Which TWO solutions should the Cloud Architect implement to satisfy these administrative and governance requirements? (Select TWO answers.)
- Configure Cloud Billing export to BigQuery at the Billing Account level to track departmental spend, and set up Cloud Monitoring metrics alerts on quota usage to proactively request limit increases.Cevap
- Grant the Quota Administrator role (roles/servicemanagement.quotaAdmin) on project folders to delegated team administrators rather than primitive IAM roles.Cevap
- CGrant the primitive Owner role (roles/owner) at the parent Folder level to project administrators so that regional resource quota ceilings are automatically overridden.
- DDepend on GCP automated dynamic quota scaling to automatically increase regional vCPU quotas during peak deployment demand spikes.
Cevap
The architect should configure Cloud Billing export to BigQuery alongside Cloud Monitoring quota alerts, and grant fine-grained predefined roles such as Quota Administrator to project leads.
Centralizing billing data via BigQuery exports enables comprehensive cost reporting across resource hierarchies. Setting up Cloud Monitoring alerts on quota allocation usage ensures teams are notified before hitting limits, while assigning fine-grained roles like Quota Administrator maintains least privilege governance.
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Anahtar Kavram
Proactive Quota Alerting, Resource Hierarchy IAM Governance, and Centralized Cloud Billing Export