Serialization · interview question

What is the healthiest performance judgment around json parsing?

Multiple choiceMediumchapter-4-curatedpremiumserializationjson-parsing

python

import json

payload = json.loads('{"order_id":"ORD-1","subtotal":88.4}')
print(payload["order_id"], payload["subtotal"])

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

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