Practice Heap properties - 36.4 | 36. Priority queues and heaps - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a priority queue?

πŸ’‘ Hint: Think about how jobs are scheduled.

Question 2

Easy

What property must a max heap maintain?

πŸ’‘ Hint: Focus on the relationship between parents and children.

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 height of a balanced heap with n nodes?

  • n
  • log n
  • n log n

πŸ’‘ 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

πŸ’‘ Hint: Think of the tree structure.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

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

Question 2

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?

πŸ’‘ Hint: Visualize the adjustments made to maintain the max heap property.

Challenge and get performance evaluation