Practice Comparative Analysis of Data Structures - 26.3 | 26. Advanced Data Structures (e.g., Trees, Graphs) | Advanced Programming
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the average time complexity for searching in a Binary Search Tree?

💡 Hint: Think about how many comparisons are made as you traverse down the tree.

Question 2

Easy

What is a Min-Heap?

💡 Hint: Consider what this means for the root node.

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 is the average time complexity for searching in a Binary Search Tree?

  • O(n)
  • O(log n)
  • O(n log n)

💡 Hint: Consider how the tree branches divide the numbers.

Question 2

True or False: An AVL Tree can have a balance factor greater than 1.

  • True
  • False

💡 Hint: Think about what it means for a tree to be balanced.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset of patient records, how would you choose between using a Trie or a Binary Search Tree for storing patient names?

💡 Hint: Think about the operations you need most frequently.

Question 2

You need to implement a scheduling system that requires dynamically prioritized tasks. Which data structure would you utilize and why?

💡 Hint: Consider how quickly you need to access the highest or lowest priority item.

Challenge and get performance evaluation