Practice Utility Functions (40.3.2) - Search trees - 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

Utility Functions

Practice - Utility Functions

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a leaf node in a binary tree?

💡 Hint: Think of the very end points of branches in a tree.

Question 2 Easy

Describe what promotion means in binary search tree.

💡 Hint: What happens to the child when a parent is deleted?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What do you do if the deleted node is a leaf?

Remove it directly
Find another value to replace it
Keep it in place

💡 Hint: What happens when you prune a dead leaf?

Question 2

True or False: Deleting a node with one child only requires connecting the parent to the child.

True
False

💡 Hint: Does anything else change in that case?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a binary search tree with the following values: 50, 30, 70, 20, 40, 60, 80. Then delete the node with value 30 and explain the process step by step.

💡 Hint: What will you need to consider with nodes that have children?

Challenge 2 Hard

In a scenario where AVL tree becomes unbalanced after several deletions, outline how rotations would be applied to restore balance.

💡 Hint: Think about how some parts of the tree might shift after removing nodes.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.