Practice Data Structures Comparison - 1.6 | 14. Search Trees | Design & Analysis of Algorithms - Vol 2
K12 Students

Academics

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

Professionals

Professional Courses

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

Games

Interactive Games

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

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a search tree?

💡 Hint: Think about how data is organized in a tree structure.

Question 2

Easy

What is the advantage of using a min-heap?

💡 Hint: Consider what happens at the root of a min-heap.

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 data structure allows quick access to the minimum element?

  • Max Heap
  • Min Heap
  • Binary Search Tree

💡 Hint: Think about where the smallest value is located.

Question 2

True or False: Binary search trees require that all values on the left of a node are larger.

  • True
  • False

💡 Hint: Recall the property of binary search trees.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a series of flight requests with times, how would you design a data structure to handle both insertion and separation constraints efficiently?

💡 Hint: Think about balancing operations and their significance.

Question 2

If you were to implement operations on a sorted array, how would the time complexities compare to those of a binary search tree for the same sequence of operations?

💡 Hint: Reflect on how elements shift in an array.

Challenge and get performance evaluation