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Google Professional Data Engineer

Google Professional Data Engineer

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You are managing two projects that involve running BigQuery jobs:

  1. The first project focuses on production jobs with strict completion time SLAs. These high priority jobs require adequate compute resources and typically utilize no less than 300 slots, though they can occasionally see spikes needing up to an additional 500 slots.

  2. The second project is designated for users to execute ad-hoc analytical queries. This project usually does not exceed a usage of 200 slots at any given time. Here, you prefer that the ad-hoc queries be billed based on the volume of data scanned rather than slot capacity.

You need to ensure that both projects are allocated the appropriate compute resources. What actions should you take to achieve this?

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