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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 heap?
💡 Hint: Think about the height of the tree.
Question 2
Easy
What is a min-heap?
💡 Hint: Consider how it relates to priority.
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 primary purpose of a heap data structure?
- To sort elements
- To manage priority queues
- To store arrays
💡 Hint: Consider what ‘priority’ means.
Question 2
True or False: In a min-heap, the root node is always the largest.
- True
- False
💡 Hint: Reflect on the nature of min vs max.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a scenario where elements are inserted into a min-heap, describe how to construct the heap step by step. Start with the array [5, 3, 8, 4, 1]. Illustrate each insertion and the resultant heap after each step.
💡 Hint: Think about how parents and children relate in value when inserting.
Question 2
Imagine you have a min-heap structured as [2, 3, 5, 7, 9] and you want to decrease the value of 5 to 1. Explain the steps required to maintain the integrity of the heap structure after this operation.
💡 Hint: What happens first when you change a value?
Challenge and get performance evaluation