Practice Final Summary - 36.6 | 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 for inserting a node in a max-heap?

πŸ’‘ Hint: Think about the number of levels in a binary tree.

Question 2

Easy

Define a max-heap.

πŸ’‘ Hint: Consider the nature of parent-child relationships.

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 operation has a time complexity of O(log n) in heaps?

  • Insert
  • Search
  • Display

πŸ’‘ Hint: Think about how the tree structure works.

Question 2

Is a max-heap always balanced?

  • True
  • False

πŸ’‘ Hint: Consider the property of complete trees.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the array [3, 19, 1, 14, 8, 7], build a max-heap using the bottom-up approach and show the intermediate steps.

πŸ’‘ Hint: Remember to fix at each step as you move up.

Question 2

If you have a min-heap and delete the root, outline the steps to maintain the min-heap property after replacement with the last element.

πŸ’‘ Hint: Focus on ensuring the smallest value ascends to the root.

Challenge and get performance evaluation