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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the worst-case complexity of O(n²) mean for a sorting algorithm?
💡 Hint: Think about how time and length of data interact.
Question 2
Easy
What is the first step in the merge sort algorithm?
💡 Hint: What do we do before 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 function of merge sort?
- To reverse a list
- To search for an element
- To sort a list
💡 Hint: Consider what sorting means overall.
Question 2
True or False: Merge sort has a guaranteed worst-case performance of O(n log n).
- True
- False
💡 Hint: Think about the efficiency of the method itself.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a randomly shuffled array of integers, apply the merge sort algorithm to sort the array step by step. Document every split and merge operation.
💡 Hint: Keep track of the left and right sides as you merge them.
Question 2
Implement the merge sort algorithm in Python from scratch and evaluate its performance against a list of 10,000 random integers.
💡 Hint: Remember that merging is key – focus on how to efficiently combine the sorted halves.
Challenge and get performance evaluation