What does data quality testing in a pipeline typically check?
- A Row counts, null rates, uniqueness, referential integrity and value ranges
- B Only whether the job completed
- C Query response time
- 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.





