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Quiz on Quick Sort in DSA

Quiz on Quick Sort in DSA

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Question 1 of 10

1. Question

What is the main idea behind the Quick Sort algorithm?

Divide and conquer
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Dynamic programming
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Greedy approach
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Backtracking
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Question 2 of 10

2. Question

In Quick Sort, what is the purpose of the pivot element?

To store the largest value
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To reverse the array
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To divide the array into parts
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To count the number of swaps
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Question 3 of 10

3. Question

Which of the following is the average-case time complexity of Quick Sort?

O(n²)
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O(log n)
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O(n log n)
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O(n)
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Question 4 of 10

4. Question

What happens in the worst case of Quick Sort?

The array gets sorted in O(n log n) time
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No elements get compared
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All elements are equal
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The pivot always picks the smallest or largest element
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Question 5 of 10

5. Question

Quick Sort is generally faster than other sorting algorithms because:

It uses multiple arrays
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It always picks the correct pivot
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It sorts in-place and uses less memory
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It sorts elements one at a time
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Question 6 of 10

6. Question

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

O(n²)
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O(n log n)
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O(n)
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O(log n)
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Question 7 of 10

7. Question

Which of the following is true about Quick Sort?

It is a stable sorting algorithm
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It needs extra space for another array
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It performs well on large datasets
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It is based on dynamic programming
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Question 8 of 10

8. Question

What is meant by ‘in-place’ sorting in Quick Sort?

Using recursion to sort
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Sorting without using extra space
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Using multiple processors
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Sorting elements in reverse
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Question 9 of 10

9. Question

Which technique is used in Quick Sort to rearrange the elements?

Hashing
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Swapping around the pivot
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Copying elements to a new array
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Reversing the array
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Question 10 of 10

10. Question

Quick Sort performs poorly when:

The array is already sorted and no pivot optimization is used
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The array has duplicate elements
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It is applied to strings
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The size of array is even
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