Performance · interview question

Which naming or modeling choice is strongest for optimization boundaries?

Multiple choiceHardchapter-16-curatedpremiumperformanceoptimization-boundaries

python

def optimize_if_needed(elapsed_ms: float) -> bool:
    return elapsed_ms > 250

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

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 optimization boundaries?

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