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Python: Which statement about heapq and Priority Queues is the strongest interview answer?

Difficulty:

Easy

Questions:

1

Time Limit:

2 minutes

Passing Score:

100%

Question

Which statement about heapq and Priority Queues is the strongest interview answer?

  1. heapq and Priority Queues is mostly a naming style choice and has little effect on runtime behavior or design tradeoffs.
  2. heapq and Priority Queues exists mainly to reduce the number of files in a Python project.
  3. heapq maintains a binary heap so the smallest element can be accessed and removed efficiently.
  4. heapq and Priority Queues matters only for frontend scripting and not for backend or automation code.

Hint

Start with the core rule behind heapq and Priority Queues.

Answer and rationale

Correct answer: C. heapq maintains a binary heap so the smallest element can be accessed and removed efficiently.

heapq maintains a binary heap so the smallest element can be accessed and removed efficiently. This is the base concept interviewers commonly test first.

Track: Python