Practice Restoring the Heap Property - 36.2.1 | 36. Priority queues and heaps - Part B | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the time complexity of the insert operation in heaps?

πŸ’‘ Hint: Think about the tree height.

Question 2

Easy

What does the delete max operation do in a max heap?

πŸ’‘ Hint: Consider what happens to the value at the top.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary purpose of the delete max operation?

  • To remove the smallest element
  • To remove the largest element
  • To increase the size of the heap

πŸ’‘ Hint: Recall what the root contains in a max heap.

Question 2

True or False: The insert operation in heaps has a time complexity of O(n).

  • True
  • False

πŸ’‘ Hint: Think about how many nodes you check.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the max heap [50, 30, 40, 20, 25], perform a delete max operation and show the resulting heap.

πŸ’‘ Hint: Remember to pick the right replacement!

Question 2

You've inserted the following sequence into an empty max heap: 15, 10, 20, 30, 25. Show the heap after each insertion.

πŸ’‘ Hint: Watch how each number moves upwards!

Challenge and get performance evaluation