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Data Structures and Algorithms Objective Questions and Answers

Test your skills in Data Structures and Algorithms with carefully designed objective questions. Covers arrays, linked lists, stacks, queues, trees, graphs, recursion, dynamic programming, greedy algorithms, and complexity analysis.

Test your data structures and algorithms skills with high-quality MCQs focused on problem-solving, complexity analysis, and real interview-level scenarios. Designed for developers and competitive programming practice.

Practice Data Structures and Algorithms MCQs with Detailed Explanations

Answer at least 12 questions to submit.

16.
What is the worst-case time complexity of inserting into a hash table with chaining?
Hard
17.
Which traversal technique is used in topological sorting?
Hard
18.
What is the main advantage of using adjacency lists over adjacency matrices?
Medium
19.
Which algorithm finds a minimum spanning tree?
Medium
20.
What is the output of pushing 1, 2, 3 into a stack and popping once?
Medium
21.
Which data structure supports insert, delete, and search in O(log n) time?
Hard
22.
What is the worst-case time complexity of BFS on a graph?
Medium
23.
Which algorithm technique is used in the Knapsack (0/1) problem?
Hard
24.
What is the worst-case time complexity of Binary Search?
Medium
25.
Which sorting algorithm is stable?
Medium
26.
What is the time complexity of building a heap from an array?
Hard
27.
Which problem is an example of backtracking?
Hard
28.
Which data structure is used to detect cycles in a graph using DFS?
Hard
29.
What is the space complexity of DFS using recursion?
Medium
30.
Which algorithm finds all-pairs shortest paths?
Hard
Answered: 0 / 15

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