Practice Heap Properties (36.4) - Priority queues and heaps - Part A - Data Structures and Algorithms in Python
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Heap properties

Practice - Heap properties

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a priority queue?

💡 Hint: Think about how jobs are scheduled.

Question 2 Easy

What property must a max heap maintain?

💡 Hint: Focus on the relationship between parents and children.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the height of a balanced heap with n nodes?

n
log n
n log n

💡 Hint: Consider how the binary tree grows.

Question 2

In a max heap, a parent node must be greater than which of the following?

Its left child only
Its right child only
Both its children

💡 Hint: Think of the tree structure.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Illustrate the sequence of insertions (5, 10, 3, 12, 7) and the resulting max heap structure.

💡 Hint: Keep track of how nodes are swapped into position as the heap fills.

Challenge 2 Hard

You have a heap with the structure (24, 18, 20, 10). If you delete the max element, what will be the new top element, and how will the structure look after re-heapifying?

💡 Hint: Visualize the adjustments made to maintain the max heap property.

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Reference links

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