Functions · interview question

What is the healthiest performance judgment around batch helpers?

Multiple choiceHardchapter-2-curatedpremiumfunctionsbatch-helpers

python

def chunk_rows(rows: list[dict], size: int) -> list[list[dict]]:
    return [rows[index:index + size] for index in range(0, len(rows), size)]

Keep batch helpers 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.Solve the symptom with comments only and avoid changing the code shape around batch helpers.Delay clarity until production traffic reveals the edge case and then patch it under pressure.

Answer and explanation

Correct answer

B. 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 batch helpers?

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