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Python: Which practice avoids a common mistake with Lists as Dynamic Arrays?

Difficulty:

Medium

Questions:

1

Time Limit:

2 minutes

Passing Score:

100%

Question

Which practice avoids a common mistake with Lists as Dynamic Arrays?

  1. Do not use a list as a front-heavy queue because repeated inserts or pops at the front shift many elements.
  2. Ignore the Lists as Dynamic Arrays issue and rely on team discipline instead of clearer APIs or invariants.
  3. Silence the Lists as Dynamic Arrays problem by using broad catches, hidden globals, or extra shared mutable state.
  4. Prefer the version of Lists as Dynamic Arrays that makes behavior less predictable as long as the code still runs.

Hint

Look for the option that protects correctness instead of hiding the problem.

Answer and rationale

Correct answer: A. Do not use a list as a front-heavy queue because repeated inserts or pops at the front shift many elements.

Do not use a list as a front-heavy queue because repeated inserts or pops at the front shift many elements. This is a common failure mode in real Python code and a frequent interview follow-up.

Track: Python