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GCP Professional Cloud Architect Practice Question

A financial-services firm runs Monte Carlo risk simulations each night between 23:00 and 07:00. The workloads are containerized, stateless, and automatically retry failed tasks. Peak demand is 1,000 vCPUs for roughly three hours; the remaining time demand is negligible. Leadership wants the lowest possible compute cost without extending the job's completion deadline. Which approach best satisfies the requirement?

  • Schedule daily startup and shutdown of 100 N2 standard VMs purchased under a 3-year committed use discount to cover the peak period.

  • Deploy the containers to Cloud Run and configure a minimum of 1,000 always-on instances to avoid cold-start latency overnight.

  • Create a GKE Standard cluster with a node pool that uses Spot VMs and enable the Cluster Autoscaler to scale up to 1,000 vCPUs during the simulation window.

  • Reserve a sole-tenant N2 node group sized for 1,000 vCPUs and purchase a 1-year Compute Engine committed use discount.

GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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