Practice Examples of heaps - 36.5 | 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 contexts where tasks are ranked by importance.

Question 2

Easy

Describe a max-heap.

πŸ’‘ Hint: Consider the arrangement of values within the tree.

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 defines a max-heap?

  • All values are equal
  • Parent nodes are greater than children
  • Leaves have the highest value

πŸ’‘ Hint: Think about how the maximum value is positioned in the structure.

Question 2

True or False: Heaps can be used to implement a priority queue.

  • True
  • False

πŸ’‘ Hint: Consider how priorities influence the order of processes.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have the following elements to insert into a max-heap: 50, 20, 60, 25, 30. Describe the process for how these would be inserted, including the final structure of the heap.

πŸ’‘ Hint: Focus on where each value must be placed to keep parent values larger than children.

Question 2

Given a max-heap structured as follows, remove the root and detail the adjustments made during the process: {70, 50, 60, 40, 30, 20, 10}.

πŸ’‘ Hint: Which child is the largest to swap at each step?

Challenge and get performance evaluation