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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Describe where the new value is placed during the insert operation in a heap.
💡 Hint: Think about how a binary tree's structure fills up.
Question 2
Easy
What happens to the tree's height as we insert new values into a balanced heap?
💡 Hint: Consider how binary trees grow.
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 time complexity does the insert operation in a max heap have?
- O(n)
- O(log n)
- O(1)
💡 Hint: Think about how many steps it takes to fix the tree.
Question 2
True or False: The maximum value in a max heap is always located at the bottom of the tree.
- True
- False
💡 Hint: Recall where the max heap property places the largest values.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given an array of integers [15, 10, 20, 30, 25]. Describe how you would create a max heap from this array using the efficient method and calculate time complexity.
💡 Hint: Consider adjusting from leaves upwards and how parent indices are calculated.
Question 2
If you delete the maximum element in the following heap representation [60, 40, 50, 30, 20, 10], detail the steps taken and the structure after deletion.
💡 Hint: Visualize the heap structure and the necessary swaps.
Challenge and get performance evaluation