Practice Binary Search Trees (BSTs) - 3.4 | 3. Analyze and Implement Various Tree Structures, Including Binary Trees and Balanced Trees | Data Structure
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a Binary Search Tree?

πŸ’‘ Hint: Think about the properties of children in relation to their parent.

Question 2

Easy

Describe an inorder traversal.

πŸ’‘ Hint: What order does it follow?

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 characterizes a Binary Search Tree?

  • All nodes have two children
  • Left child < Parent < Right child
  • Nodes are in random order

πŸ’‘ Hint: Remember how values relate in the tree.

Question 2

True or false: The worst-case time complexity for search operation in BST is O(n).

  • True
  • False

πŸ’‘ Hint: Think about a linear structure like a linked list.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a BST, how would you balance it after inserting a sequence: [5, 4, 3, 2, 1]? What steps would you take?

πŸ’‘ Hint: Consider left-heavy imbalances.

Question 2

Design a system using a Binary Search Tree to track scores in a game. How would you insert scores, search for high scores, and delete scores of eliminated players?

πŸ’‘ Hint: Think of how data gets added and might need to be removed dynamically.

Challenge and get performance evaluation