Practice Unsorted vs Sorted - 36.2.2 | 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 is the main difference between an unsorted list and a sorted list?

πŸ’‘ Hint: Think about the operations and their speeds.

Question 2

Easy

What is a priority queue?

πŸ’‘ Hint: Consider how job execution is determined.

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 time complexity does adding a job to an unsorted priority queue require?

  • O(1)
  • O(n)
  • O(log n)

πŸ’‘ Hint: Reflect on how you add jobs to a queue.

Question 2

Is a sorted list efficient for inserting new jobs?

  • True
  • False

πŸ’‘ Hint: Consider the insertion process of sorted structures.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You need a system to manage a list of tasks with varying levels of urgency. Describe how to implement a priority queue and heuristically justify your choice of either a sorted array, unsorted array, or heap.

πŸ’‘ Hint: Consider the efficiency of managing dynamic lists.

Question 2

Analyze the performance trade-offs when managing a mix of high and low priority jobs in an unsorted versus sorted data structure. Discuss what metrics would be most critical to monitor.

πŸ’‘ Hint: Think about throughput and time complexity of operations.

Challenge and get performance evaluation