A row-count check authored in test passes cleanly there and fires repeatedly in production for reaso

A medium Pipeline Design interview practice problem on DataDriven. Write and execute real pipeline design code with instant grading.

Domain

Pipeline Design

Difficulty

medium

Problem

A row-count check authored in test passes cleanly there and fires repeatedly in production for reasons unrelated to data quality. Test fixtures load the same rows daily; production carries live traffic with calendar effects. The section's discipline: keep the assertion identical across environments and load thresholds from environment-specific config. The opposite mistake (a check that passes in production because the threshold matches whatever the producer is currently emitting) is also wrong because it cannot detect drift. Compare dev vs prod thresholds by replacing the single quality-check transform with one whose name states the shared assertion plus environment-aware threshold sourcing (config keyed on environment).

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