Testing · interview question

What is the healthiest performance judgment around fixtures?

Multiple choiceMediumchapter-9-curatedpremiumtestingfixtures

python

import pytest

@pytest.fixture
def sample_order() -> dict[str, object]:
    return {"id": "ORD-1", "subtotal": 120.0}

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 fixtures 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 fixtures.

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 fixtures?

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