Data Cleanup · interview question

Which naming or modeling choice is strongest for safe output writes?

Multiple choiceMediumchapter-4-curatedpremiumdata-cleanupsafe-output-writes

python

from pathlib import Path

target = Path("orders.json")
temp = target.with_suffix(".tmp")
temp.write_text("[]", encoding="utf-8")
temp.replace(target)

Use names and structures that describe the business fact directly instead of temporary implementation noise.Delay clarity until production traffic reveals the edge case and then patch it under pressure.Keep safe output writes implicit so the script stays short and hope the next engineer infers the rule.Solve the symptom with comments only and avoid changing the code shape around safe output writes.

Answer and explanation

Correct answer

A. Use names and structures that describe the business fact directly instead of temporary implementation noise.

Why

Clear naming and modeling shorten debugging, review, and onboarding time.

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Which naming or modeling choice is strongest for safe output writes?

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