Data Structure & Algorithms MCQs and Answers With Explanation | Data Structure & Algorithms Quiz

Data Structure & Algorithms MCQs
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Data Structure & Algorithms MCQs and Answers With Explanation –Data structures and algorithms are the backbone of computer science and programming, providing a systematic way of organizing and manipulating data to solve complex problems efficiently. Mastery of these concepts is essential for any programmer, as they are widely used in software development, system design, and other fields. These Data Structures and Algorithms MCQs can help you prepare for interviews and placement tests in the Data Structures and Algorithms concept, and deepen your understanding of these fundamental concepts.

Data Structure & Algorithms MCQs

These Top Data Structures and Algorithms MCQs cover a range of topics, including arrays, linked lists, trees, graphs, sorting algorithms, and searching algorithms. Designed to test your knowledge and understanding of data structures and algorithms concepts and techniques, these Data Structure & Algorithms Multiple Choice Questions can help you prepare for exams, interviews, and other assessments in the field of computer science and programming. We are confident that this Data Structures Algorithms Online Quiz can be a valuable resource in your preparation and help you succeed in your interview or exam.

Data Structures and Algorithms MCQ Questions

Name Data Structure & Algorithms
Exam Type MCQ (Multiple Choice Questions)
Category Technical Quiz
Mode of Quiz Online

Top 60 Data Structures and Algorithms MCQs

1. Which of the following data structures is not linear?

a) Array
b) Linked List
c) Stack
d) Tree

Answer: d) Tree

Explanation: Trees are hierarchical data structures that are not linear, unlike arrays, linked lists, and stacks which are linear data structures.

2. Which of the following is not an application of a stack?

a) Function call stack
b) Browser back button
c) Undo/Redo operation
d) Binary search

Answer: d) Binary search

Explanation: Stacks are used in applications such as function call stack, browser back button, and undo/redo operation, but not in binary search which uses binary trees.

3. Which of the following is not a basic operation of a queue?

a) Enqueue
b) Dequeue
c) Peek
d) Traverse

Answer: d) Traverse

Explanation: The basic operations of a queue are enqueue, dequeue, and peek, but not traverse. Traversing a queue means iterating through all its elements, which is not a basic operation.

4. Which of the following is an example of a linear search algorithm?

a) Binary search
b) Interpolation search
c) Jump search
d) Sequential search

Answer: d) Sequential search

Explanation: Sequential search, also known as linear search, is an algorithm that searches for a target value in a list by iterating through each element in sequence until the target value is found or the end of the list is reached. Binary search, interpolation search, and jump search are all examples of more efficient search algorithms.

5. Which of the following is not a sorting algorithm with a worst-case time complexity of O(n log n)?

a) Quick sort
b) Merge sort
c) Bubble sort
d) Heap sort

Answer: c) Bubble sort

Explanation: Bubble sort is a simple sorting algorithm with a worst-case time complexity of O(n^2), while quick sort, merge sort, and heap sort are all sorting algorithms with a worst-case time complexity of O(n log n).

6. Which of the following is a disadvantage of using linked lists over arrays?

a) Random access
b) Fixed size
c) Memory efficiency
d) Ease of insertion and deletion

Answer: a) Random access

Explanation: Linked lists do not support random access to elements, unlike arrays which can access any element in constant time. However, linked lists have advantages over arrays in terms of ease of insertion and deletion, memory efficiency, and dynamic size.

7. Which of the following is a type of tree that maintains a heap property?

a) AVL tree
b) B-tree
c) Binary tree
d) Heap tree

Answer: d) Heap tree

Explanation: A heap tree is a type of tree that maintains a heap property, where each node has a value greater than or equal to its children (max heap) or less than or equal to its children (min heap). AVL tree and B-tree are types of balanced trees, while binary tree is a type of tree that has at most two children.

8. Which of the following is not a common application of a hash table?

a) Dictionary
b) Spell checker
c) Cache
d) Binary search tree

Answer: d) Binary search tree

Explanation: Hash tables are commonly used in applications such as dictionaries, spell checkers, and caches, but not in binary search trees which use a different data structure for searching.

9. Which of the following is a graph traversal algorithm that visits nodes in breadth-first order?

a) Depth-first search
b) Breadth-first search
c) Dijkstra’s algorithm
d) Bellman-Ford algorithm

Answer: b) Breadth-first search

Explanation: Breadth-first search is a graph traversal algorithm that visits nodes in breadth-first order, meaning that it visits all the nodes at a given distance from the starting node before moving on to nodes at a greater distance. Depth-first search is another graph traversal algorithm that visits nodes in depth-first order, meaning that it explores as far as possible along each branch before backtracking. Dijkstra’s algorithm and Bellman-Ford algorithm are shortest path algorithms.

10. Which of the following is a dynamic programming algorithm for solving the longest common subsequence problem?

a) Dijkstra’s algorithm
b) Bellman-Ford algorithm
c) Floyd-Warshall algorithm
d) Needleman-Wunsch algorithm

Answer: d) Needleman-Wunsch algorithm

Explanation: The Needleman-Wunsch algorithm is a dynamic programming algorithm for solving the longest common subsequence problem, which involves finding the longest subsequence that is common to two sequences. Dijkstra’s algorithm and Bellman-Ford algorithm are shortest path algorithms, while Floyd-Warshall algorithm is a dynamic programming algorithm for finding the shortest path between all pairs of nodes in a graph.

11. Which of the following is a data structure that implements a priority queue?

a) Stack
b) Queue
c) Heap
d) Linked list

Answer: c) Heap

Explanation: A heap is a data structure that implements a priority queue, where the highest priority item is always at the root. Stacks and queues are data structures with specific ordering properties, while linked lists are a data structure for storing sequences of elements.

12. Which of the following is not a complexity class used to classify algorithms?

a) P
b) NP
c) NP-complete
d) E

Answer: d) E

Explanation: P, NP, and NP-complete are complexity classes used to classify algorithms based on their worst-case time complexity. E is not a complexity class used in this context.

13. Which of the following is not an example of a divide-and-conquer algorithm?

a) Merge sort
b) Quick sort
c) Binary search
d) Bubble sort

Answer: d) Bubble sort

Explanation: Merge sort, quick sort, and binary search are all examples of divide-and-conquer algorithms, which involve breaking a problem down into smaller subproblems and solving each subproblem recursively. Bubble sort is not a divide-and-conquer algorithm.

14. Which of the following is a data structure that implements a set?

a) Stack
b) Queue
c) Heap
d) Hash table

Answer: d) Hash table

Explanation: A hash table is a data structure that implements a set, which is a collection of distinct elements. Stacks and queues are data structures with specific ordering properties, while heaps are data structures that implement a priority queue.

15. Which of the following is not a basic operation of a binary search tree?

a) Insert
b) Delete
c) Search
d) Traverse

Answer: d) Traverse

Explanation: The basic operations of a binary search tree are insert, delete, and search, but not traverse. Traversing a binary search tree means iterating through all its nodes, which is not a basic operation.

16. Which of the following is not an example of a greedy algorithm?
a) Dijkstra’s algorithm
b) Kruskal’s algorithm
c) Prim’s algorithm
d) Depth-first search

Answer: d) Depth-first search

Explanation: Dijkstra’s algorithm, Kruskal’s algorithm, and Prim’s algorithm are all examples of greedy algorithms, which make locally optimal choices at each step in the hope of finding a global optimum. Depth-first search is not a greedy algorithm.

17. Which of the following is not a dynamic programming algorithm for solving the shortest path problem?

a) Bellman-Ford algorithm
b) Dijkstra’s algorithm
c) Floyd-Warshall algorithm
d) A* algorithm

Answer: d) A* algorithm

Explanation: The Bellman-Ford algorithm, Dijkstra’s algorithm, and Floyd-Warshall algorithm are all dynamic programming algorithms for solving the shortest path problem, which involves finding the shortest path between two nodes in a graph. The A* algorithm is a heuristic search algorithm that is often used to solve pathfinding problems.

18. Which of the following is a data structure that implements a deque?

a) Stack
b) Queue
c) Heap
d) Linked list

Answer: d) Linked list

Explanation: A deque, or double-ended queue, is a data structure that allows insertion and deletion of elements at both ends. A linked list is a data structure that can implement a deque, while stacks and queues have specific ordering properties, and heaps implement a priority queue.

19. Which of the following is not a graph traversal algorithm?

a) Breadth-first search
b) Depth-first search
c) Dijkstra’s algorithm
d) Prim’s algorithm

Answer: c) Dijkstra’s algorithm

Explanation: Breadth-first search and depth-first search are graph traversal algorithms, while Dijkstra’s algorithm and Prim’s algorithm are shortest path algorithms.

20. Which data structure would be best suited for implementing a LIFO (Last In First Out) behavior?

a) Queue
b) Stack
c) Heap
d) Tree

Answer: b) Stack

Explanation: A stack is a data structure that supports LIFO behavior, where the last element inserted is the first one to be removed. Queues support FIFO (First In First Out) behavior.

21. Which of the following sorting algorithms is considered stable?

a) Quick sort
b) Heap sort
c) Merge sort
d) Selection sort

Answer: c) Merge sort

Explanation: A stable sorting algorithm is one where elements with the same value appear in the same order in the sorted output as they do in the input. Merge sort is a stable sorting algorithm, while quick sort, heap sort, and selection sort are not.

22. Which of the following data structures can be used to implement a priority queue?

a) Queue
b) Stack
c) Heap
d) Linked list

Answer: c) Heap

Explanation: A priority queue is a data structure where elements are inserted with a priority and the highest-priority element is always removed first. A heap is a binary tree-based data structure that can be used to implement a priority queue efficiently.

23. Which of the following is not a searching algorithm?

a) Binary search
b) Linear search
c) Hashing
d) Bubble sort

Answer: d) Bubble sort

Explanation: Binary search, linear search, and hashing are all searching algorithms, while bubble sort is a sorting algorithm.

24. Which of the following algorithms can be used to find the shortest path between two nodes in a weighted graph?

a) Breadth-first search
b) Depth-first search
c) Dijkstra’s algorithm
d) Prim’s algorithm

Answer: c) Dijkstra’s algorithm

Explanation: Dijkstra’s algorithm is a shortest path algorithm that can be used to find the shortest path between two nodes in a weighted graph. Breadth-first search and depth-first search are graph traversal algorithms, while Prim’s algorithm is used to find the minimum spanning tree of a weighted graph.

25. Which of the following data structures is used to implement a hash table?

a) Linked list
b) Queue
c) Stack
d) Array

Answer: d) Array

Explanation: A hash table is a data structure that uses a hash function to map keys to their associated values. An array is commonly used as the underlying data structure for a hash table.

26. Which of the following is not a common complexity class used to analyze algorithms?

a) O(1)
b) O(log n)
c) O(n^2)
d) O(n!)

Answer: d) O(n!)

Explanation: O(n!) is a valid complexity class, but it is not commonly used to analyze algorithms. Common complexity classes include O(1), O(log n), O(n), O(n log n), and O(n^2).

27. Which of the following data structures can be used to implement a binary search?

a) Queue
b) Stack
c) Linked list
d) Array

Answer: d) Array

Explanation: A binary search requires that the elements in the data structure be sorted in a specific order. An array is a commonly used data structure for implementing a binary search because it allows random access to elements.

28. Which of the following algorithms is used to find the strongly connected components in a directed graph?

a) Breadth-first search
b) Depth-first search
c) Dijkstra’s algorithm
d) Kruskal’s algorithm

Answer: b) Depth-first search

Explanation: Depth-first search can be used to find the strongly connected components in a directed graph. Breadth-first search is a graph traversal algorithm, while Dijkstra’s algorithm and Kruskal’s algorithm are used for finding shortest paths and minimum spanning trees, respectively.

29. Which of the following is a common data structure used for implementing a stack?

a) Linked list
b) Heap
c) Tree
d) Hash table

Answer: a) Linked list

Explanation: A linked list is a common data structure used for implementing a stack, as it allows for constant time insertion and deletion at one end of the list. A heap is a binary tree-based data structure used for implementing a priority queue, while a tree is a more general data structure. Hash tables are commonly used for implementing a dictionary or map data structure.

30. Which of the following algorithms is used to find the shortest path between two nodes in a graph?

a) Breadth-first search
b) Depth-first search
c) Dijkstra’s algorithm
d) Prim’s algorithm

Answer: c) Dijkstra’s algorithm

Explanation: Dijkstra’s algorithm is a graph traversal algorithm that is commonly used to find the shortest path between two nodes in a graph. Breadth-first search and depth-first search are also graph traversal algorithms, but they do not necessarily find the shortest path. Prim’s algorithm is used for finding the minimum spanning tree of a weighted undirected graph.

31. Which of the following data structures is used to implement a queue?

a) Linked list
b) Stack
c) Hash table
d) Binary tree

Answer: a) Linked list

Explanation: A linked list is a common data structure used for implementing a queue, as it allows for constant time insertion and deletion at both ends of the list. A stack is used for last-in-first-out (LIFO) operations, while a hash table and binary tree are more general data structures.

32. Which of the following sorting algorithms has a worst-case time complexity of O(n^2)?

a) Quick sort
b) Merge sort
c) Heap sort
d) Bubble sort

Answer: d) Bubble sort

Explanation: Bubble sort has a worst-case time complexity of O(n^2), where n is the number of elements in the array. Quick sort, merge sort, and heap sort all have worst-case time complexities of O(n log n).

33. Which of the following is not a common data structure used to represent a graph?

a) Adjacency list
b) Adjacency matrix
c) Hash table
d) Edge list

Answer: c) Hash table

Explanation: Although a hash table can be used to implement certain graph algorithms, it is not a commonly used data structure for representing graphs. The most common data structures used to represent graphs are the adjacency list, adjacency matrix, and edge list.

34. Which of the following algorithms is used to find the minimum spanning tree of a weighted undirected graph?

a) Breadth-first search
b) Depth-first search
c) Dijkstra’s algorithm
d) Prim’s algorithm

Answer: d) Prim’s algorithm

Explanation: Prim’s algorithm is a graph traversal algorithm that is commonly used to find the minimum spanning tree of a weighted undirected graph. Breadth-first search and depth-first search are also graph traversal algorithms, but they are not specifically designed for finding the minimum spanning tree. Dijkstra’s algorithm is used for finding the shortest path in a weighted graph.

35. Which of the following data structures is used to implement a binary search?

a) Linked list
b) Array
c) Stack
d) Queue

Answer: b) Array

Explanation: Binary search requires a sorted collection of elements, and an array is a common data structure used to store sorted collections of data. A linked list, stack, and queue are not necessarily sorted, and thus are not appropriate data structures for implementing binary search.

36. Which of the following algorithms is used to find the maximum flow in a network?

a) Breadth-first search
b) Depth-first search
c) Dijkstra’s algorithm
d) Ford-Fulkerson algorithm

Answer: d) Ford-Fulkerson algorithm

Explanation: The Ford-Fulkerson algorithm is a network flow algorithm that is commonly used to find the maximum flow in a network. Breadth-first search and depth-first search are graph traversal algorithms, and Dijkstra’s algorithm is used to find the shortest path in a weighted graph.

37. Which of the following is not a common search algorithm used in artificial intelligence?

a) Breadth-first search
b) Depth-first search
c) Hill climbing
d) Binary search

Answer: d) Binary search

Explanation: Binary search is a searching algorithm used to search for a specific element in a sorted collection of data. It is not typically used in artificial intelligence, where more complex search algorithms such as breadth-first search, depth-first search, and hill climbing are more commonly used.

38. Which of the following data structures is used to implement a priority queue?

a) Linked list
b) Stack
c) Heap
d) Binary tree

Answer: c) Heap

Explanation: A heap is a binary tree-based data structure that is commonly used to implement a priority queue. Linked lists and stacks are not appropriate data structures for implementing a priority queue, as they do not provide the necessary functionality for efficient insertion and deletion of elements based on priority.

39. Which of the following algorithms is used to find the maximum subarray sum in an array of integers?

a) Quick sort
b) Merge sort
c) Kadane’s algorithm
d) Binary search

Answer: c) Kadane’s algorithm

Explanation: Kadane’s algorithm is a dynamic programming algorithm that is commonly used to find the maximum subarray sum in an array of integers. Quick sort and merge sort are sorting algorithms, and binary search is a searching algorithm.

40. Which of the following is not a common sorting algorithm?

a) Bubble sort
b) Insertion sort
c) Selection sort
d) Combination sort

Answer: d) Combination sort

Explanation: Combination sort is not a common sorting algorithm. Bubble sort, insertion sort, and selection sort are all basic comparison-based sorting algorithms.

41. Which of the following algorithms is used to find the shortest path in a graph with non-negative edge weights?

a) Dijkstra’s algorithm
b) Bellman-Ford algorithm
c) Floyd-Warshall algorithm
d) Kruskal’s algorithm

Answer: a) Dijkstra’s algorithm

Explanation: Dijkstra’s algorithm is a graph search algorithm that is used to find the shortest path between two nodes in a graph with non-negative edge weights. Bellman-Ford algorithm is used to find the shortest path in a graph with negative edge weights. Floyd-Warshall algorithm is used to find the shortest path between all pairs of nodes in a weighted graph. Kruskal’s algorithm is used to find the minimum spanning tree of a connected, weighted graph.

42. Which of the following algorithms is used to sort a linked list?

a) Quick sort
b) Merge sort
c) Selection sort
d) Bubble sort

Answer: b) Merge sort

Explanation: Merge sort is typically used to sort a linked list because of its efficient use of memory and recursive structure. Quick sort can be used, but it requires additional memory to keep track of the nodes in the list. Selection sort and bubble sort are not efficient sorting algorithms and are not typically used to sort a linked list.

43. Which of the following is not a common data structure used to implement a graph?

a) Adjacency matrix
b) Adjacency list
c) Hash table
d) Edge list

Answer: c) Hash table

Explanation: Hash tables are not typically used to implement a graph. Adjacency matrices, adjacency lists, and edge lists are common data structures used to represent a graph.

44. Which of the following algorithms is used to find the maximum value in an array of integers?

a) Bubble sort
b) Merge sort
c) Quick sort
d) Linear search

Answer: d) Linear search

Explanation: Linear search is a simple algorithm used to find the maximum value in an array of integers. Bubble sort, merge sort, and quick sort are sorting algorithms and are not typically used to find the maximum value in an array.

45. Which of the following data structures is used to implement a stack?

a) Linked list
b) Array
c) Heap
d) Binary tree

Answer: a) Linked list

Explanation: Stacks are typically implemented using a linked list, where each element in the list contains a pointer to the next element in the stack. Arrays, heaps, and binary trees are not typically used to implement a stack.

46. Which of the following is not a software testing technique?

a) Boundary value analysis
b) Equivalence partitioning
c) Code optimization
d) Decision table testing

Answer: c) Code optimization

Explanation: Code optimization is a development technique used to improve the efficiency and performance of code. It is not a software testing technique.

47. The process of finding and fixing defects in software is called:

a) Debugging
b) Unit testing
c) System testing
d) Regression testing

Answer: a) Debugging

Explanation: Debugging is the process of finding and fixing defects or errors in software.

48. Which of the following is not a level of software testing?

a) Unit testing
b) Integration testing
c) Acceptance testing
d) Maintenance testing

Answer: d) Maintenance testing

Explanation: Maintenance testing is not a level of software testing. It is a type of testing that is performed to ensure that changes or modifications to the software do not introduce new defects or problems.

49. Which of the following is not a type of software testing?

a) Manual testing
b) Automated testing
c) White box testing
d) Parallel testing

Answer: d) Parallel testing

Explanation: Parallel testing is not a type of software testing. It is a testing technique that involves running multiple tests simultaneously in order to save time.

50. Which of the following is a functional testing technique?

a) Boundary value analysis
b) Regression testing
c) Load testing
d) Usability testing

Answer: a) Boundary value analysis

Explanation: Boundary value analysis is a functional testing technique that involves testing the boundaries or extremes of input values to determine if the software functions correctly.

51. Which of the following is a non-functional testing technique?

a) Performance testing
b) Security testing
c) Integration testing
d) Unit testing

Answer: b) Security testing

Explanation: Security testing is a non-functional testing technique that involves testing the software for vulnerabilities and weaknesses in its security measures.

52. Which of the following is not a black box testing technique?

a) Equivalence partitioning
b) Boundary value analysis
c) State transition testing
d) Structural testing

Answer: d) Structural testing

Explanation: Structural testing, also known as white box testing, involves testing the internal structure and design of the software. Equivalence partitioning, boundary value analysis, and state transition testing are all black box testing techniques.

53. Which of the following is not a goal of software testing?

a) To find defects or bugs in the software
b) To improve the quality of the software
c) To ensure that the software meets its requirements
d) To eliminate the need for maintenance and support

Answer: d) To eliminate the need for maintenance and support

Explanation: While software testing can help to reduce the need for maintenance and support, its primary goals are to find defects or bugs in the software, improve the quality of the software, and ensure that the software meets its requirements.

54. Which of the following is a white box testing technique?

a) Boundary value analysis
b) Equivalence partitioning
c) Control flow testing
d) Decision table testing

Answer: c) Control flow testing

Explanation: Control flow testing is a white box testing technique that involves testing the software by examining its control structures, such as loops and conditionals.

55. Which of the following is a testing technique that involves using previously developed test cases to test new versions of the software?

a) Regression testing
b) Acceptance testing
c) Integration testing
d) Usability testing

Answer: a) Regression testing

Explanation: Regression testing is a testing technique that involves using previously developed test cases to test new versions of the software. It is performed to ensure that changes or modifications to the software do not introduce new defects or problems.

56. Which of the following is a non-functional requirement?

a) The software shall be able to add two numbers
b) The software shall be user-friendly
c) The software shall be compatible with Windows and Mac operating systems
d) The software shall be able to handle 1000 concurrent users

Answer: d) The software shall be able to handle 1000 concurrent users

Explanation: Non-functional requirements specify the qualities or attributes of the software, such as its performance, scalability, reliability, and security. The ability to handle 1000 concurrent users is an example of a performance-related non-functional requirement.

57. Which of the following is a technique for measuring software quality?

a) Pair programming
b) Code review
c) Code coverage analysis
d) Continuous integration

Answer: c) Code coverage analysis

Explanation: Code coverage analysis is a technique for measuring software quality that involves determining which parts of the software code have been executed during testing. This information can be used to identify areas of the code that have not been tested and may contain defects.

58. Which of the following is a technique for detecting defects in software requirements?

a) Code review
b) Test case design
c) Traceability analysis
d) Use case analysis

Answer: c) Traceability analysis

Explanation: Traceability analysis is a technique for detecting defects in software requirements by tracing the relationships between requirements, design specifications, and test cases. This helps to ensure that all requirements have been tested and that the software meets its specified requirements.

59. Which of the following is a type of software defect?

a) Syntax error
b) Logical error
c) Semantic error
d) All of the above

Answer: d) All of the above

Explanation: Syntax errors, logical errors, and semantic errors are all types of software defects. Syntax errors occur when the syntax of the programming language is violated, logical errors occur when the program does not behave as expected, and semantic errors occur when the program does not produce the intended results.

60. Which of the following is a black box testing technique?

a) Boundary value analysis
b) Statement coverage
c) Branch coverage
d) Path testing

Answer: a) Boundary value analysis

Explanation: Boundary value analysis is a black box testing technique that involves testing the boundaries or extremes of input values to determine if the software functions correctly. Statement coverage, branch coverage, and path testing are all white box testing techniques.

Data structures and algorithms are fundamental concepts that every programmer should have a solid understanding of. These Data Structure MCQ With Answers provide a helpful resource for testing and deepening your knowledge of data structures and algorithms, which can prove valuable in various programming fields. Follow our Freshersnow website for more such quizzes.