Advanced Python · interview question

What is the healthiest performance judgment around timing and audit scopes?

Multiple choiceHardchapter-14-curatedpremiumadvanced-pythontiming-and-audit-scopes

python

import time

def timed(fn):
    def wrapper(*args, **kwargs):
        started = time.perf_counter()
        try:
            return fn(*args, **kwargs)
        finally:
            print(time.perf_counter() - started)
    return wrapper

Delay clarity until production traffic reveals the edge case and then patch it under pressure.Measure before optimizing, then change the part that actually dominates cost instead of guessing from style alone.Keep timing and audit scopes 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 timing and audit scopes.

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 timing and audit scopes?

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