Practice Index Calculations - 36.3.1 | 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 worst-case time complexity for inserting a node into a heap?

πŸ’‘ Hint: Consider the height of the tree.

Question 2

Easy

Where is the maximum value located in a max-heap?

πŸ’‘ Hint: Think about how heaps are constructed.

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 time complexity of the insert operation in a heap?

  • O(1)
  • O(log n)
  • O(n)

πŸ’‘ Hint: Consider how high the tree goes.

Question 2

True or False: In a max-heap, the smallest element is always at the root.

  • True
  • False

πŸ’‘ Hint: Think about the definition of a max-heap.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a max-heap array of [50, 40, 30, 20, 10], what will it look like after deleting the max and reinserting 25?

πŸ’‘ Hint: Consider the steps of removing and repairing the heap structure.

Question 2

Calculate the height of a complete binary tree with 15 nodes.

πŸ’‘ Hint: Think about the level count for a perfect binary tree.

Challenge and get performance evaluation