Sorting Algorithms MCQsBy: Prof. Dr. Fazal Rehman | Last updated: May 15, 2025 38 Score: 0 Attempted: 0/38 Subscribe 1. : What is the primary goal of sorting algorithms? (A) To compress data (B) To organize data in a specific order (C) To search for elements (D) To encrypt data 2. : Which sorting algorithm has the best average-case time complexity? (A) Bubble Sort (B) Quick Sort (C) Insertion Sort (D) Selection Sort 3. : What is the worst-case time complexity of Bubble Sort? (A) O(n log n) (B) O(n²) (C) O(n) (D) O(log n) 4. : Which sorting algorithm is based on the divide-and-conquer strategy? (A) Selection Sort (B) Merge Sort (C) Insertion Sort (D) Heap Sort 5. : In which sorting algorithm is the largest element repeatedly swapped to the end of the list? (A) Selection Sort (B) Insertion Sort (C) Quick Sort (D) Bubble Sort 6. : What is the time complexity of Merge Sort in the worst case? (A) O(n) (B) O(n log n) (C) O(n²) (D) O(log n) 7. : Which sorting algorithm is generally the fastest for large datasets? (A) Insertion Sort (B) Merge Sort (C) Quick Sort (D) Bubble Sort 8. : What is the primary disadvantage of using Selection Sort? (A) High memory usage (B) Poor performance on large lists (C) Complexity of implementation (D) It is unstable 9. : Which sorting algorithm maintains the relative order of equal elements? (A) Quick Sort (B) Selection Sort (C) Merge Sort (D) Heap Sort 10. : What is the space complexity of Merge Sort? (A) O(1) (B) O(n) (C) O(n log n) (D) O(log n) 11. : In which algorithm does the pivot element play a critical role? (A) Bubble Sort (B) Quick Sort (C) Selection Sort (D) Merge Sort 12. : Which sorting algorithm is the most efficient for nearly sorted data? (A) Quick Sort (B) Bubble Sort (C) Insertion Sort (D) Heap Sort 13. : What is the average-case time complexity of Insertion Sort? (A) O(n log n) (B) O(n²) (C) O(n) (D) O(log n) 14. : Which of the following sorting algorithms is in-place? (A) Merge Sort (B) Quick Sort (C) Bubble Sort (D) All of the above 15. : What type of sorting algorithm is Heap Sort? (A) Comparison-based (B) Non-comparison-based (C) Stable (D) Adaptive 16. : In Quick Sort, what is the role of the pivot? (A) To partition the array (B) To sort the array (C) To merge two arrays (D) To perform linear searches 17. : What is the best-case time complexity of Insertion Sort? (A) O(n²) (B) O(n log n) (C) O(n) (D) O(log n) 18. : Which sorting algorithm is characterized by dividing the array into subarrays and sorting them independently? (A) Quick Sort (B) Merge Sort (C) Bubble Sort (D) Selection Sort 19. : What is the primary advantage of Heap Sort? (A) It is stable (B) It uses less memory (C) It is an in-place algorithm (D) It is easy to implement 20. : Which algorithm is not a comparison-based sorting algorithm? (A) Radix Sort (B) Quick Sort (C) Merge Sort (D) Bubble Sort 21. : In which scenario is Selection Sort most efficient? (A) When the dataset is small (B) When the dataset is large (C) When the dataset is mostly sorted (D) When the dataset contains many duplicates 22. : What is the worst-case time complexity of Quick Sort? (A) O(n log n) (B) O(n²) (C) O(n) (D) O(log n) 23. : Which sorting algorithm is known for its simplicity and ease of implementation? (A) Merge Sort (B) Quick Sort (C) Bubble Sort (D) Heap Sort 24. : What is the time complexity of Counting Sort? (A) O(n²) (B) O(n log n) (C) O(n) (D) O(log n) 25. : Which algorithm is not stable? (A) Insertion Sort (B) Merge Sort (C) Quick Sort (D) Bubble Sort 26. : What is the main disadvantage of Bubble Sort? (A) It is difficult to implement (B) It has a high time complexity (C) It requires extra memory (D) It is not stable 27. : What type of data does Radix Sort operate on? (A) Integer data (B) Character data (C) Floating-point data (D) All of the above 28. : Which sorting algorithm divides the data into buckets and sorts them individually? (A) Radix Sort (B) Merge Sort (C) Heap Sort (D) Quick Sort 29. : In which sorting algorithm is the data divided into halves recursively? (A) Insertion Sort (B) Quick Sort (C) Merge Sort (D) Selection Sort 30. : What is the key advantage of Merge Sort over Quick Sort? (A) Faster execution time (B) Lower space complexity (C) It is always stable (D) It has a better average-case performance 31. : Which sorting algorithm repeatedly selects the smallest element from an unsorted portion? (A) Bubble Sort (B) Insertion Sort (C) Selection Sort (D) Quick Sort 32. : What is the time complexity of Shell Sort? (A) O(n log n) (B) O(n²) (C) O(n^(3/2)) (D) O(log n) 33. : Which of the following is a characteristic of Heap Sort? (A) It is not an in-place algorithm (B) It is stable (C) It uses a binary heap data structure (D) It is based on the divide-and-conquer strategy 34. : What is the primary purpose of the partitioning step in Quick Sort? (A) To combine sorted arrays (B) To rearrange elements around a pivot (C) To select the next pivot (D) To merge two halves 35. : Which of the following algorithms has a time complexity of O(n²) in the worst case? (A) Merge Sort (B) Heap Sort (C) Quick Sort (D) Selection Sort 36. : What is the primary advantage of using Counting Sort? (A) It works on any data type (B) It is a non-comparison-based algorithm (C) It is stable (D) It has low memory requirements 37. : In which sorting algorithm does the input size significantly affect the time complexity? (A) Merge Sort (B) Quick Sort (C) Insertion Sort (D) Bubble Sort 38. : Which sorting algorithm is best suited for sorting linked lists? (A) Merge Sort (B) Quick Sort (C) Bubble Sort (D) Heap Sort Data Structures MCQs Basic Concepts Introduction to Data Structures Abstract Data Types (ADT) MCQs Complexity Analysis MCQs Time complexity MCQs Space complexity MCQs Big O, Big Ω, Big Θ notations MCQs Linear Data Structures MCQs Arrays MCQs One-dimensional arrays MCQs Multi-dimensional arrays MCQs Operations: traversal, insertion, deletion MCQs Linked Lists MCQs Singly linked list MCQs Doubly linked list MCQs Circular linked list MCQs Stacks MCQs Stack operations (push, pop, peek) MCQs Applications of stacks (expression evaluation, recursion) MCQs Queues MCQs Queue operations (enqueue, dequeue, front, rear) MCQs Types: Simple queue, circular queue, priority queue, deque MCQs Non-Linear Data Structures MCQs Trees MCQs Binary trees MCQs Binary Search Trees (BST) MCQs AVL Trees MCQs B-trees and B+ trees MCQs Tree traversal methods (in-order, pre-order, post-order) MCQs Heaps MCQs Min-heap MCQs Max-heap MCQs Heap operations (insertion, deletion, heapify) MCQs Applications of heaps (priority queues, heap sort) MCQs Graphs MCQs Graph representation (adjacency matrix, adjacency list) MCQs Graph traversal algorithms (DFS, BFS) MCQs Shortest path algorithms (Dijkstra’s, Bellman-Ford) MCQs Minimum Spanning Tree (Kruskal’s, Prim’s) MCQs Hashing MCQs MCQs Hash Tables Hash functions MCQs Collision resolution techniques (chaining, open addressing) MCQs Applications of hashing MCQs Sorting and Searching Algorithms MCQs Sorting Algorithms MCQs Bubble sort MCQs Selection sort MCQs Insertion sort MCQs Merge sort MCQs Quick sort MCQs Heap sort MCQs Searching Algorithms MCQs Linear search MCQs Binary search MCQs Interpolation search MCQs Miscellaneous Memory Management in data structures MCQs Dynamic memory allocation MCQs Garbage collection MCQs String Manipulation Algorithms MCQs Pattern matching (KMP, Rabin-Karp) MCQs String hashing MCQs Data Structures MCQs 1 Data Structures MCQs 2 Data Structures MCQs 3 Data Structures MCQs 4 Data Structures MCQs 5 Stacks Solved MCQs Queues MCQs pointer mcqs Array MCQs Related Posts:Sorting and Searching Algorithms MCQs Comparison of time complexities of Sorting Algorithms Sorting and filtering data in tables MCQs - MS WordSorting and filtering data - Excel MCQsSearching and sorting exercises and solutions in C++Sorting a Stack Data Structures in C++