Data Structures and Algorithms The Complete Masterclass - Quick Sort

What is the primary focus of the Quicksort algorithm?

• To find the median of an array

• To merge two sorted arrays

• To sort elements by repeatedly selecting a pivot

• To find the maximum element in an array

In Quicksort, what is the role of the pivot element?

• It is the smallest element in the array

• It is used to divide the array into two parts

• It is used to merge two arrays

• It is the largest element in the array

What happens to elements on the left of the pivot after sorting?

• They are equal to the pivot

• They are not affected by the pivot

• They are greater than the pivot

• They are smaller than the pivot

Which condition is checked first during the Quicksort process?

• If the left pointer is less than the pivot

• If the right pointer is greater than the pivot

• If the left pointer is greater than the pivot

• If the right pointer is less than the pivot

What is the purpose of swapping elements in Quicksort?

• To ensure the pivot is the largest element

• To place smaller elements on the left and larger on the right

• To find the median of the array

• To merge two sorted arrays

How does Quicksort handle sublists after sorting a pivot?

• It merges them into a single list

• It applies the same sorting logic recursively

• It ignores them as they are already sorted

• It reverses the order of elements

What is the base condition for recursion in Quicksort?

• When the list has only one element

• When the list has more than two elements

• When the list is sorted in descending order

• When the list is empty

What is the final step in the Quicksort algorithm?

• Merging all sublists

• Ensuring all elements are sorted

• Reversing the sorted list

• Finding the largest element

Why is Quicksort considered efficient?

• It requires no additional data structures

• It has a low average time complexity

• It sorts elements in descending order

• It uses a lot of memory

What is the main advantage of using Quicksort over other sorting algorithms?

• It requires less memory

• It is faster on average for large datasets

• It has a better worst-case time complexity

• It is easier to implement