Sorting Algorithms — Part 1 MCQs with Explanations

Heap Sort is a sorting algorithm with a worst-case time complexity of O(n log n) . It is not stable because the relative order of equal elements may not be preserved during the sorting process. Option A: Counting Sort is not correct because it has a time complexity of O(n + k) , where k is the range of the input, and it is stable. Option C: Merge Sort has a worst-case time complexity of O(n log n) , but it is a stable sorting algorithm. Option D: Quick Sort has an average-case time complexity of O(n log n) , but its worst-case time complexity is O(n²) . It is also not stable. Therefore, the correct answer is Option B: Heap Sort , as it meets the criteria of O(n log n) in the worst case and is not stable.

O(n2) is the correct answer to “What is the time complexity of Bubble Sort in the average case”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Quick Sort is the correct answer to “Which sorting algorithm is based on the divide-and-conquer strategy”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n) is the correct answer to “What is the space complexity of Merge Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Quick Sort is the correct answer to “Which sorting algorithm uses a "pivot" element to partition the array into sub-arrays”. This question is standard in competitive examination syllabi for Sorting Algorithms.

It has a guaranteed time complexity of O(n log n) in the worst case. is the correct answer to “What is the primary advantage of Heap Sort over Quick Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which sorting algorithm is considered stable”. This question is standard in competitive examination syllabi for Sorting Algorithms.

When the array is already sorted or nearly sorted. is the correct answer to “In which scenario does Insertion Sort perform best”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n2) is the correct answer to “What is the worst-case time complexity of Quick Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Insertion Sort is the correct answer to “Which sorting algorithm is most efficient for sorting small arrays”. This question is standard in competitive examination syllabi for Sorting Algorithms.

It requires a large amount of memory for large range of input values. is the correct answer to “What is the primary disadvantage of using Counting Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which of the following sorting algorithms has a worst-case time complexity of O(n log n) and is also stable”. This question is standard in competitive examination syllabi for Sorting Algorithms.

By sorting numbers digit by digit using a stable sort algorithm. is the correct answer to “How does Radix Sort handle sorting of large numbers efficiently”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n2) is the correct answer to “What is the time complexity of Selection Sort in the average case”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which sorting algorithm is best suited for sorting linked lists”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is stable and uses additional space, while Quick Sort is not stable and uses in-place sorting. is the correct answer to “What is the key difference between Merge Sort and Quick Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which sorting algorithm is known for its worst-case time complexity being better than O(n 2 )”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n + k) is the correct answer to “What is the time complexity of Counting Sort when the range of input values is very large”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which sorting algorithm works by dividing the array into smaller parts and sorting those parts using recursion”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Binary Heap is the correct answer to “What type of data structure is used in the implementation of Heap Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which algorithm is typically used in applications where the input size is very large and a stable sort is required”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Distributing elements into buckets and sorting each bucket individually. is the correct answer to “What is the key idea behind the Bucket Sort algorithm”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Counting Sort is the correct answer to “Which sorting algorithm is the best choice for sorting a small number of elements with a known range”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n log n) is the correct answer to “What is the average-case time complexity of Merge Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Quick Sort is the correct answer to “Which sorting algorithm is described as an in-place algorithm but not stable”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Radix Sort is the correct answer to “Which sorting algorithm requires a specific implementation for handling large integer values”. This question is standard in competitive examination syllabi for Sorting Algorithms.

It combines the best aspects of Merge Sort and Insertion Sort. is the correct answer to “What is the advantage of using TimSort over other sorting algorithms”. This question is standard in competitive examination syllabi for Sorting Algorithms.

When the array is large and unsorted. is the correct answer to “In which scenario would you prefer to use Shell Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n log n) is the correct answer to “What is the time complexity of Heap Sort in the best case scenario”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Radix Sort is the correct answer to “Which sorting algorithm uses a divide-and-conquer approach but is not comparison-based”. This question is standard in competitive examination syllabi for Sorting Algorithms.

It has a worst-case time complexity of O(n2). is the correct answer to “What is the primary disadvantage of using Quick Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Merge Sort is the correct answer to “Which sorting algorithm is most appropriate for sorting linked lists”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Radix Sort is the correct answer to “Which sorting algorithm can be used to sort a large number of floating-point numbers efficiently”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Insertion Sort is the correct answer to “Which sorting algorithm is known for its efficiency with partially sorted data”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n log n) is the correct answer to “What is the best-case time complexity of Quick Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Selection Sort is the correct answer to “Which sorting algorithm works by repeatedly finding the minimum element from the unsorted portion”. This question is standard in competitive examination syllabi for Sorting Algorithms.

O(n + k) is the correct answer to “What is the space complexity of Radix Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

When stable sorting is required and the data is large. is the correct answer to “In which situation is Merge Sort particularly useful”. This question is standard in competitive examination syllabi for Sorting Algorithms.

It is inefficient for large datasets. is the correct answer to “What is the main drawback of Bubble Sort”. This question is standard in competitive examination syllabi for Sorting Algorithms.

Radix Sort is the correct answer to “Which sorting algorithm is best for sorting strings of fixed length”. This question is standard in competitive examination syllabi for Sorting Algorithms.