Practice Final Summary (36.6) - Priority queues and heaps - Part B - Data Structures and Algorithms in Python
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Final Summary

Practice - Final Summary

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity for inserting a node in a max-heap?

💡 Hint: Think about the number of levels in a binary tree.

Question 2 Easy

Define a max-heap.

💡 Hint: Consider the nature of parent-child relationships.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

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

Insert
Search
Display

💡 Hint: Think about how the tree structure works.

Question 2

Is a max-heap always balanced?

True
False

💡 Hint: Consider the property of complete trees.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Remember to fix at each step as you move up.

Challenge 2 Hard

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.

💡 Hint: Focus on ensuring the smallest value ascends to the root.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.