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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define a heap in your own words.
💡 Hint: Think about what makes heaps different from other data structures.
Question 2
Easy
What is the time complexity of inserting an element into a heap?
💡 Hint: Recall how height affects performance.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What property must a max-heap satisfy?
💡 Hint: Think about the requirements for retrieving the maximum element quickly.
Question 2
True or False: A binary tree can be a heap even if it has missing nodes.
💡 Hint: Recall the shape property of heaps.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Create a valid max-heap from the following numbers: 10, 20, 15, 30, 25. Describe how you would go about it.
💡 Hint: Keep an eye on the relationships between the parent and child nodes.
Question 2
A max-heap is given as [50, 30, 20, 15, 10]. If we insert a value of 25, how does this affect the heap?
💡 Hint: Think about how the insertion balances the structure.
Challenge and get performance evaluation