Practice Value property - 36.4.2 | 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 operation adds a new element to a priority queue?

πŸ’‘ Hint: This operation involves putting your new job into the list.

Question 2

Easy

What property must a max heap maintain?

πŸ’‘ Hint: Think of the hierarchy in a family 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 does a priority queue rely on to serve elements?

  • Arrival time
  • Assigned priority
  • Random selection

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

Question 2

True or False: In a max heap, every parent node must have a value greater than its children.

  • True
  • False

πŸ’‘ Hint: Consider the hierarchy within a family.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a priority queue to schedule tasks in a CPU. Explain how insertion and deletion manage priorities effectively.

πŸ’‘ Hint: Think about real-time urgency in task management.

Question 2

Construct a binary tree that both adheres to the structural heap property and violates the max heap property. Explain the violation.

πŸ’‘ Hint: Remember the relationships between parent and child.

Challenge and get performance evaluation