Practice Heap as a binary tree - 36.3.2 | 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 does a priority queue do that differentiates it from a normal queue?

πŸ’‘ Hint: Think about how jobs might be scheduled based on importance.

Question 2

Easy

Explain what a max-heap is in simple terms.

πŸ’‘ Hint: Consider how higher priorities are defined in a queue.

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 distinguishes a heap from other binary trees?

  • Leaves are filled left to right
  • Every parent is larger than its children
  • Heap supports both insertion and deletion

πŸ’‘ Hint: Consider what properties are unique to heaps.

Question 2

True or False: A max-heap must have its minimum value at the root.

  • True
  • False

πŸ’‘ Hint: Think about the definition of max-heap.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Describe a real-world application where a priority queue using heaps might be beneficial.

πŸ’‘ Hint: Think about industries where quick decision-making and prioritization are crucial.

Question 2

Given a max-heap with the following level order traversal: [30, 20, 25, 10, 5, 15], explain how you would remove the max element and maintain the properties of the heap.

πŸ’‘ Hint: Remember to always promote the largest child when necessary.

Challenge and get performance evaluation