Practice Trees - 26.1 | 26. Advanced Data Structures (e.g., Trees, Graphs) | Advanced Programming
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

Trees

26.1 - Trees

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the topmost node of a tree called?

💡 Hint: Think of where the tree begins.

Question 2 Easy

What do you call a node that has no children?

💡 Hint: Consider what happens if you can't go further down from that point.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines a node as a leaf in a tree structure?

A node with multiple children
A node with no children
A root node

💡 Hint: Remember the basic structure of tree nodes.

Question 2

True or False: In a binary search tree, the left subtree contains values greater than the parent node.

True
False

💡 Hint: Recall how values are organized in a binary search tree.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider the following set of numbers: 15, 10, 20, 8, 12, 17, 25. Construct a binary search tree and demonstrate the in-order traversal output.

💡 Hint: Focus on the rules of left and right placements based on value.

Challenge 2 Hard

Explain how you would implement a priority queue using a heap. What advantages does using a heap provide?

💡 Hint: Consider the properties of heaps regarding parent and child relationships.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.