Practice Correct examples - 36.5.1 | 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 of job scheduling.

Question 2

Easy

What does the insert operation do in a priority queue?

πŸ’‘ Hint: It’s about adding something to the 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 operation is used to remove the job with the highest priority?

  • Insert
  • Delete Max
  • Update

πŸ’‘ Hint: Think about which action takes the most important job out.

Question 2

True or False: A max heap requires that every parent node is smaller than its child nodes.

  • True
  • False

πŸ’‘ Hint: Consider the naming: max means larger, right?

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a priority queue using a binary heap. Explain how you would implement insert and delete max operations.

πŸ’‘ Hint: Remember how elements shift in a tree.

Question 2

Discuss how a priority queue could be used in a real-time system, such as an online shopping site. What criteria would determine job prioritization?

πŸ’‘ Hint: Consider customer satisfaction and real-time processing requirements.

Challenge and get performance evaluation