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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is merge sort?
💡 Hint: Think of how it divides the list.
Question 2
Easy
What do we do when one of the lists to merge is empty?
💡 Hint: What happens if there's nothing to merge?
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 algorithm does merge sort utilize?
- Dynamic Programming
- Greedy Technique
- Divide and Conquer
- Brute Force
💡 Hint: Think about how it breaks down the problem.
Question 2
Merge sort is more efficient than which of the following for large lists?
- Insertion Sort
- Selection Sort
- Bubble Sort
- All of the above
💡 Hint: Recall the performance of each algorithm for large inputs.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Demonstrate merge sort on the array [38, 27, 43, 3, 9, 82, 10], showing each step of the divide and merge process.
💡 Hint: Keep breaking down until you have single elements, then start merging them back.
Question 2
Write a Python function to implement merge sort for a list of integers, including handling edge cases.
💡 Hint: Remember to handle scenarios where lists may be already sorted.
Challenge and get performance evaluation