Virtual Labs

What is the primary strategy used by Quick Sort?

Divide-and-Conquer
Merging subarrays
Building a heap
Comparing adjacent elements

What determines the efficiency of Quick Sort?

The choice of pivot
The size of the dataset
The number of recursive calls
The number of comparisons

What happens during the partition step in Quick Sort?

The array is split into sorted subarrays
Elements are divided relative to the pivot
The pivot is merged into the array
The pivot is swapped with adjacent elements

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

O(n)
O(n²)
O(n log n)
O(log n)

Which of the following is a disadvantage of Quick Sort?

It requires extra memory
It is inefficient for small datasets
It has a worst-case time complexity of O(n²)
It cannot handle large datasets

Virtual Labs

Quick Sort Pretest

Answer the multiple-choice questions below to test your knowledge!

Multiple-Choice Questions:

Virtual Labs

Quick Sort Pretest

Answer the multiple-choice questions below to test your knowledge!

Multiple-Choice Questions:

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