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GCP Professional Data Engineer Practice Question

A fintech startup uses BigQuery on-demand for an ad-hoc fraud-detection dashboard and a nightly ETL that ingests multiple terabytes. Security analysts expect dashboard queries to return in seconds, but when the ETL overlaps, some dashboards queue for minutes and miss their SLO. You must remove this contention without buying additional BigQuery capacity or editing SQL. What should you do?

  • Buy additional on-demand slots so both workloads can run as interactive queries concurrently.

  • Create a 500-slot reservation for the dashboard project and keep both workloads as interactive.

  • Keep both jobs interactive but move the ETL schedule to 03:00-05:00 when fewer analysts are online.

  • Submit the ETL job with batch query priority while leaving the dashboard queries as interactive.

GCP Professional Data Engineer
Maintaining and automating data workloads
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