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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is merge sort used for?
💡 Hint: Think about the size and organization of data.
Question 2
Easy
Describe what happens when one list is exhausted during merging.
💡 Hint: Remember the process of combining two lists.
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 is the time complexity of merge sort?
- O(n)
- O(n log n)
- O(n²)
💡 Hint: Consider the difference in performance between algorithms.
Question 2
Merge sort is a stable sorting algorithm. True or False?
- True
- False
💡 Hint: Think about how items are handled in a sorted list.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a list of integers, create a Python function implementing merge sort and explain how recursion is utilized.
💡 Hint: Remember to test the function with various lists to ensure performance.
Question 2
Discuss the implications of using merge sort with a large dataset in terms of both time and space complexity.
💡 Hint: Compare with other algorithms to see merging's impact.
Challenge and get performance evaluation