A global healthcare genomics enterprise processes petabytes of sequencing data across 45 Google Cloud projects managed under a single Cloud Billing Account. The workload profile consists of steady-state web portals running continuously, unpredictable burst compute clusters processing genomic batches, and massive archival raw sample storage. The organization wants to establish an automated FinOps cost optimization and financial governance strategy without compromising application performance or operational security. Which of the following architectural actions should the enterprise implement? (Select THREE).
- Purchase Flexible Committed Use Discounts (CUDs) at the billing account level to cover baseline compute spend across multiple machine series and regions.Cevap
- BPurchase 3-year Resource-Based Committed Use Discounts specifically sized to cover the maximum peak capacity of the burst genomic batch processing clusters.
- Export detailed Cloud Billing data to a centralized BigQuery dataset and configure custom Cloud Budgets with Pub/Sub notification topics for automated governance actions.Cevap
- Configure Cloud Storage Object Lifecycle Management rules to automatically transition raw sequencing objects from Standard to Nearline and Coldline storage based on object age.Cevap
- EGrant the primitive Owner role on project resource hierarchies to local team leads so they can adjust quota requests and billing parameters independently.
Cevap
The correct recommendations are purchasing Flexible Committed Use Discounts for baseline compute across projects, exporting billing data to BigQuery with Pub/Sub programmatic budget alerts, and defining Cloud Storage Object Lifecycle Management policies for data tiering.
Flexible Committed Use Discounts deliver spend-based savings across varied machine types and regions for steady-state workloads. Centralized Cloud Billing export to BigQuery paired with Pub/Sub programmatic budget notifications facilitates deep cost visibility and automated governance. Automated Cloud Storage Object Lifecycle Management efficiently shifts historical data to lower-cost storage tiers over time.
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Enterprise FinOps governance through flexible commitments, automated billing data analytics, and storage lifecycle management.