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Prepare and test your skills
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A data platform team operates large-scale ELT pipelines and BigQuery analytics workloads across multiple Google Cloud projects. The team needs to establish a proactive cost governance and monitoring strategy to satisfy the following requirements:
Which architecture and configuration should the team implement?
This architecture establishes an enterprise-grade FinOps pipeline by streaming Detailed usage cost data into BigQuery, abstracting data consumption through BigQuery views, visualizing trends in Looker Studio, and applying predictive cost threshold alerts via Cloud Billing budgets.
StudyCerts
StudyCertsgcp_billing_export_resource_v1_ table, capturing granular resource identifiers (such as VM instances, GKE namespaces, and SSDs) necessary for micro-level workload attribution.Directly querying raw export tables creates tight coupling and fragility against upstream schema evolution. Utilizing BigQuery views provides maintainability and standardization, while native forecasted budget alerts eliminate the need for custom, error-prone forecasting pipelines.
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