GCP Professional Cloud Architect Practice Question

Your finance team reports that several long-running Compute Engine instances in multiple projects are costing more than expected. Operations observes that most of these VMs run at less than 5 % CPU and their attached persistent disks show minimal I/O activity. You must implement an automated workflow that periodically lists such resources, provides specific downsizing or deletion actions, and exports the results to BigQuery for review by the cost-optimization team. Which Google Cloud capability should you use as the authoritative source for those recommendations?

  • Enable Cloud Billing BigQuery export and query usage and cost tables to infer under-utilized VMs and disks.

  • Run Cloud Profiler across all instances to detect low CPU activity and use its reports to decide which VMs to resize or delete.

  • Use the Recommender service's Cost Optimization insights (rightsizing and idle-resource recommendations) and export them to BigQuery.

  • Collect CPU and I/O metrics via Cloud Monitoring's Metrics API and trigger alerts that flag resources below utilization thresholds.

GCP Professional Cloud Architect
Analyzing and optimizing technical and business processes
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