Data Cleanup · interview question
What production risk should you worry about most if normalization pipelines is handled lazily?
Multiple choiceMediumchapter-4-curatedpremiumdata-cleanupnormalization-pipelines
Answer and explanation
Correct answer
D. The code may appear to work in simple demos but fail under real data volume, edge cases, or operational pressure.
Why
Production incidents often come from code that looked fine in a happy-path demo but hid one structural weakness.
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