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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the time complexity for inserting an element into a max heap?
💡 Hint: Think about the height of the tree and how a balanced tree behaves.
Question 2
Easy
Explain why the maximum value in a max heap is always at the root.
💡 Hint: Consider what would happen if this property didn't hold.
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 time complexity for inserting a node in a binary max heap?
- O(n)
- O(log n)
- O(1)
💡 Hint: Consider how many levels you traverse.
Question 2
True or False: In a max heap, the root node is always the smallest element.
- True
- False
💡 Hint: Recall the definition of a max heap.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Construct a max heap from the array [10, 15, 30, 5, 20, 25, 35] using the bottom-up heapify method. Illustrate each step.
💡 Hint: Focus on how each parent compares to its children and adjust accordingly.
Question 2
Explain how using an array representation for heaps improves access and manipulation of nodes compared to a traditional tree structure.
💡 Hint: Consider the arithmetic relationship between indices for parent and children.
Challenge and get performance evaluation