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GCP Professional Data Engineer Practice Question

Your organization manages several BigQuery projects. Interactive queries that refresh the executive dashboard in the prod-analytics project start at 09:00 each weekday and must finish within seconds. During the rest of the day, development and ad-hoc queries from other projects may use any spare capacity, but the dashboard must never be slowed when it runs. What is the most cost-effective way to guarantee performance for the dashboard while still letting the other projects use leftover capacity?

  • Purchase a 1-year commitment for 1,000 slots, place them in a dedicated reservation assigned to prod-analytics, create a second 0-slot reservation for the other projects so they can opportunistically borrow idle slots.

  • Run the dashboard queries with batch priority and enable query result caching so they do not compete with other workloads.

  • Upgrade every BigQuery project to Enterprise Plus edition and rely on automatic slot scaling to handle the 09:00 dashboard workload.

  • Buy Flex slots at 08:55 each morning for prod-analytics and delete them after the dashboard finishes; keep all projects on on-demand pricing for the rest of the day.

GCP Professional Data Engineer
Maintaining and automating data workloads
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