Practice Two Dimensional Structures - 36.3 | 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 queues usually work.

Question 2

Easy

Describe the max-heap property.

πŸ’‘ Hint: Consider what the word 'max' implies.

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 main difference between a traditional queue and a priority queue?

  • Priority queues operate based on arrival time
  • Priority queues operate based on priority
  • There is no difference

πŸ’‘ Hint: Think about how you would prioritize tasks at work.

Question 2

True or False: A max heap does not need to maintain a specific structure.

  • True
  • False

πŸ’‘ Hint: Remember the definitions of heap structures.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have the tasks with the following priorities: A(1), B(3), C(2), and need to arrange them in a max heap. Describe the steps taken and the resulting heap structure.

πŸ’‘ Hint: Visualize each insertion as rearranging blocks in a tower.

Question 2

Analyze how a priority queue will handle job insertions and deletions more efficiently compared to a simple array structure with jobs of equal priority.

πŸ’‘ Hint: Consider examples of scheduling that require quick access to the highest priority.

Challenge and get performance evaluation