Practice Balancing after addition - 36.7.1 | 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 about task scheduling.

Question 2

Easy

What operation is used to remove the highest priority job from a queue?

πŸ’‘ Hint: What do we do to the job with the highest priority?

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 does a priority queue do?

  • Processes elements by arrival
  • Processes elements by priority
  • Processes elements by time

πŸ’‘ Hint: Consider how urgent tasks are handled.

Question 2

Is the max-heap property always maintained during insertion?

  • True
  • False

πŸ’‘ Hint: Think about how we adjust the tree after adding.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an algorithm to insert a series of jobs into a priority queue represented as a max heap, detailing each step taken.

πŸ’‘ Hint: Think about how to adjust parent-child relationships.

Question 2

Investigate the performance efficiency of a priority queue using a max heap versus an unsorted array when handling 10,000 tasks. What do you expect each type's time complexity to be?

πŸ’‘ Hint: Consider how often each structure needs to be traversed for operations.

Challenge and get performance evaluation