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Quiz on Merge Sort in DSA

Quiz on Merge Sort in DSA

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Question 1 of 10

1. Question

What is the key idea behind the Merge Sort algorithm?

Backtracking
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Divide and conquer
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Greedy method
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Brute force
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Question 2 of 10

2. Question

What is the time complexity of Merge Sort in the worst case?

O(n²)
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O(n log n)
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O(log n)
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O(n)
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Question 3 of 10

3. Question

Merge Sort works by:

Sorting the array from left to right
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Merging elements in reverse order
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Dividing the array into halves and merging them after sorting
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Picking a pivot and rearranging elements
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Question 4 of 10

4. Question

Which of the following is true about Merge Sort?

It works in-place
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It is an unstable sort
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It requires extra memory space
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It sorts only numeric data
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Question 5 of 10

5. Question

Merge Sort is particularly useful when:

Data is already sorted
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Memory usage needs to be minimized
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Large datasets need to be sorted accurately
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Sorting has to be done using less CPU
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Question 6 of 10

6. Question

What happens during the merge step of Merge Sort?

The array is split again
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Sorted subarrays are combined into one sorted array
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Elements are reversed
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Elements are randomly swapped
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Question 7 of 10

7. Question

Merge Sort can be easily implemented using:

Iteration only
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Recursion
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Hash tables
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Queues
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Question 8 of 10

8. Question

What is the best-case time complexity of Merge Sort?

O(n²)
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O(n)
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O(n log n)
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O(log n)
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Question 9 of 10

9. Question

Is Merge Sort a stable sorting algorithm?

Yes, it keeps equal elements in original order
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No, it changes the order of equal elements
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Only when sorting in reverse
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Only with extra sorting logic
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Question 10 of 10

10. Question

What kind of sorting technique is Merge Sort classified as?

Non-comparison based sort
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Hybrid sort
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Comparison-based sort
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Bucket sort
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