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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the time complexity of Merge Sort?
💡 Hint: Think about how it compares to other sorting algorithms discussed.
Question 2
Easy
Name the three main steps in the Merge Sort algorithm.
💡 Hint: Recall the core principles we discussed.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the best-case time complexity of Merge Sort?
💡 Hint: Review the performance analysis section.
Question 2
True or False: Merge Sort can be applied to linked lists?
💡 Hint: Think about the nature of linked lists.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given the array [34, 7, 23, 32, 5, 62], explain the full process of Merge Sort step-by-step, including the final merged array.
💡 Hint: Focus on how many times the array is divided and how merging works for each level.
Question 2
Write a full implementation of Merge Sort in any programming language (e.g., Python, Java). Ensure to include edge cases.
💡 Hint: Think about how functions can be defined and how recursion is handled.
Challenge and get performance evaluation