Practice Binary tree - 36.3.1 | 36. Priority queues and heaps - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a binary tree?

πŸ’‘ Hint: Think about the structure of trees and nodes.

Question 2

Easy

What operation is used to add a new element to a heap?

πŸ’‘ Hint: Focus on how heaps manage elements.

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 maximum number of children a node can have in a binary tree?

  • Zero
  • One
  • Two
  • Three

πŸ’‘ Hint: Recall the term 'binary' related to two.

Question 2

True or False: In a max heap, the root node is always the smallest element.

  • True
  • False

πŸ’‘ Hint: Think about the definition of 'max' in max heap.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a binary tree representation of a heap, demonstrate the insertion of a new node and highlight all necessary steps.

πŸ’‘ Hint: Keep track of the heap property as you navigate upwards.

Question 2

Compare the operations of a priority queue implemented via a simple list versus a binary heap. Discuss the time complexity for both insertion and deletion.

πŸ’‘ Hint: Think about how maintaining order affects performance.

Challenge and get performance evaluation