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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the initial steps of Merge Sort?
💡 Hint: Think about how the algorithm begins.
Question 2
Easy
How does Merge Sort improve upon insertion sort?
💡 Hint: Consider the performance with larger 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 primary advantage of Merge Sort?
- It is simple to implement
- It has a time complexity of O(n²)
- It is efficient for large datasets
💡 Hint: Think about how performance changes with input size.
Question 2
True or False: Merge Sort uses a divide-and-conquer strategy.
- True
- False
💡 Hint: Recall the strategy used in the sorting process.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Implement the Merge Sort algorithm in Python to sort the list [12, 11, 13, 5, 6, 7]. Show the intermediate steps as you implement the merging process.
💡 Hint: Start by dividing the array into halves until reaching one element.
Question 2
Analyze how changing the merging process could result in a different sorted order. What considerations would need to be made?
💡 Hint: Consider what might happen if the order of selection was reversed in merging.
Challenge and get performance evaluation