GCP Professional Data Engineer Practice Question

Your organization recently purchased a 2,000-slot annual commitment in BigQuery Enterprise Edition. A Spark Structured Streaming ETL job in the marketing project must always have at least 500 slots available between 05:00 and 07:00 so that it finishes within its SLA. All other departments run interactive ad-hoc queries during business hours; they can share the remaining capacity on a best-effort basis but must never consume the 500 slots needed by the marketing workload. What reservation strategy meets these requirements while maximizing overall slot utilization?

  • Create a 500-slot reservation for the marketing project and a separate 1,500-slot reservation assigned to the rest of the organization.

  • Create a 500-slot reservation for marketing and leave the remaining 1,500 slots unassigned so that other projects can use them when idle.

  • Create one 2,000-slot reservation and add QUERY assignments for all projects so every workload draws from the same capacity pool.

  • Skip reservations entirely; let the marketing project use on-demand pricing and let other projects consume the committed capacity.

GCP Professional Data Engineer
Maintaining and automating data workloads
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