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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the time complexity of the merge function?
💡 Hint: Think about how many items we are processing.
Question 2
Easy
Describe the main purpose of merge sort.
💡 Hint: What methodology does it use for sorting?
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(n^2)
💡 Hint: Consider the logarithmic component in the method used.
Question 2
The merge operation can be used to find the intersection of two lists.
- True
- False
💡 Hint: Think about how merging processes duplicates.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Implement an iterative version of merge sort in Python. What are the key differences compared to the recursive version?
💡 Hint: Think about how to manage the sorting in chunks rather than recursively.
Question 2
Given two sorted lists [1, 3, 5, 7] and [2, 4, 6, 8], output the union, intersection, and list difference using the merge operation.
💡 Hint: How do the numbers relate in each condition?
Challenge and get performance evaluation