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What does data quality testing in a pipeline typically check?

  1. A Row counts, null rates, uniqueness, referential integrity and value ranges
  2. B Only whether the job completed
  3. C Query response time
  4. D Storage costs
Answer

Row counts, null rates, uniqueness, referential integrity and value ranges

Silent data quality failures are more damaging than crashes, because wrong numbers reach reports and get acted upon.

All Data Warehousing MCQs

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