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Python: In Python, which comparison about heapq and Priority Queues is accurate?

Difficulty:

Easy

Questions:

1

Time Limit:

2 minutes

Passing Score:

100%

Question

In Python, which comparison about heapq and Priority Queues is accurate?

  1. There is no practical difference in behavior, performance, or maintainability when heapq and Priority Queues is involved.
  2. The oldest option related to heapq and Priority Queues is always the right production choice regardless of workload or context.
  3. Differences around heapq and Priority Queues are mostly cosmetic, so correctness and debugging quality do not really change.
  4. A heap gives cheap access to the next priority element, while full sorting gives a complete order at higher total cost.

Hint

Focus on the behavior or tradeoff, not just the keyword.

Answer and rationale

Correct answer: D. A heap gives cheap access to the next priority element, while full sorting gives a complete order at higher total cost.

A heap gives cheap access to the next priority element, while full sorting gives a complete order at higher total cost. This is the comparison that usually separates memorization from understanding.

Track: Python