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?
Skip reservations entirely; let the marketing project use on-demand pricing and let other projects consume the committed capacity.
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.
Create two separate reservations. Allocate a 500-slot reservation and assign it only to the marketing project, guaranteeing that amount of capacity during the ETL window. Allocate the remaining 1,500 slots to a second reservation and assign the organization (or the folder that contains all other projects) to it. This lets interactive queries use up to 1,500 slots without interfering with marketing. Leaving slots unassigned would make them unusable, and a single 2,000-slot reservation would expose the marketing job to contention. Using on-demand pricing would ignore the purchased capacity and increase cost uncertainty.
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