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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the base case for merge sort?
💡 Hint: Think about when you can stop dividing the array.
Question 2
Easy
What does 'merging' refer to in merge sort?
💡 Hint: Consider how you would combine two stacks of sorted cards.
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^2)
- O(n log n)
- O(log n)
💡 Hint: Consider how both phases of the algorithm contribute to the overall time.
Question 2
True or False: The base case for merge sort occurs when the array has two elements.
- True
- False
💡 Hint: Think about when no sorting is necessary.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Implement the merge sort algorithm in a programming language of your choice and explain the output.
💡 Hint: Start with the base case, then implement the recursive calls and merging.
Question 2
Given a large dataset, describe how you would apply merge sort and optimize its performance.
💡 Hint: Think about how data management impacts performance.
Challenge and get performance evaluation