Practice Structural property - 36.4.1 | 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

Define a priority queue and explain how it differs from a standard queue.

πŸ’‘ Hint: Think about how order of processing differs in urgency.

Question 2

Easy

What is meant by the term 'heap' in data structures?

πŸ’‘ Hint: Visualize a structured tree rather than a random arrangement.

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 defines a priority queue?

  • Jobs processed in FIFO order
  • Jobs processed based on priority
  • Jobs processed based on earliest arrival

πŸ’‘ Hint: Think about urgency versus sequence in processing.

Question 2

True or False: In a max heap, a parent node can have a child node with a greater value.

  • True
  • False

πŸ’‘ Hint: Consider what a max heap stands for.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A max heap has the values [30, 20, 25, 10]. You insert a new value of 35. Describe the transformation of the heap.

πŸ’‘ Hint: Visualize the heap structure before and after to see the requirement for swaps.

Question 2

Given the set of values [40, 30, 35, 20, 25], construct a max heap and illustrate the step-by-step process.

πŸ’‘ Hint: Draw the heap as you progress to keep track of the properties.

Challenge and get performance evaluation