Serialization · interview question

Which naming or modeling choice is strongest for csv parsing?

Multiple choiceMediumchapter-4-curatedpremiumserializationcsv-parsing

python

import csv

with open("orders.csv", newline="", encoding="utf-8") as handle:
    rows = list(csv.DictReader(handle))
print(rows[:1])

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

Answer and explanation

Correct answer

D. 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 csv parsing?

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