Data Cleanup · interview question

What is the healthiest performance judgment around 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)

Delay clarity until production traffic reveals the edge case and then patch it under pressure.Solve the symptom with comments only and avoid changing the code shape around safe output writes.Keep safe output writes implicit so the script stays short and hope the next engineer infers the rule.Measure before optimizing, then change the part that actually dominates cost instead of guessing from style alone.

Answer and explanation

Correct answer

D. Measure before optimizing, then change the part that actually dominates cost instead of guessing from style alone.

Why

Premature optimization is usually weaker than targeted optimization backed by measurement.

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What is the healthiest performance judgment around safe output writes?

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