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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define stable sorting.
💡 Hint: Think about how sorting ties are handled.
Question 2
Easy
Why is quicksort generally considered fast?
💡 Hint: Consider how many elements it divides at each step.
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 main benefit of stable sorting?
💡 Hint: Focus on what happens to tied elements during sorting.
Question 2
True or False: All sorting algorithms are stable.
💡 Hint: Recall examples of unstable sorting methods.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Consider a dataset of 500,000 records that needs to be sorted primarily by date and secondarily by name. Which sorting algorithm would you choose and why?
💡 Hint: Think about both the size and nature of the data.
Question 2
You have two algorithms: Algorithm A (O(n^2)) and Algorithm B (O(n log n)). If you need to sort 1000 records which would you choose? Explain your reasoning.
💡 Hint: Consider time complexity benefits as data size increases.
Challenge and get performance evaluation