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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the Merge Sort algorithm?
💡 Hint: Think about how you would approach sorting a list manually.
Question 2
Easy
Explain what happens when one of the lists is empty during the merging process.
💡 Hint: Consider what it means for a list to be completely sorted.
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 does the Divide and Conquer approach involve?
- Merging sorted lists
- Dividing problems into smaller sub-problems
- Sorting a single list
💡 Hint: Think about what 'divide' means.
Question 2
True or False: Merge Sort has the same time complexity as Bubble Sort.
- True
- False
💡 Hint: Remember the time complexities of these algorithms.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given the lists [10, 20, 30, 40] and [5, 15, 25, 35], manually merge them using the merging strategy of Merge Sort. Explain each step.
💡 Hint: Track which elements you've chosen and what remains in each list.
Question 2
Create a Python function that implements the Merge Sort algorithm. Test it with an example array and explain your code.
💡 Hint: Start by defining the merge function before recursively applying it.
Challenge and get performance evaluation