Jump straight into our sprawling data structure MCQ questions and see how well you score! Ranging from simple array problems to hard backtracking problems, our questions will help you prepare for whatever your interview throws at you. Whether you are a fresher or prepping for technical interviews, begin working on data structures with our MCQs today.
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Table of Contents
MCQs on Fundamentals of Data Structure
This section includes data structure MCQ questions on the overview and definition of data structure, data types, structured data types, abstract data types, preconditions and postconditions, and linear and non-linear data structures. It also includes solved objective questions on the advantages of using an array, examples of data structures, components of a data structure, priority queue, time complexity of quicksort, applications of the stack, linear type of data structure, indexed structures, nodes in a linked list and linear array, and a binary search tree in a data structure.
- Solved Multiple Choice Questions on Data Structure Set – 1
- Solved Multiple Choice Questions on Data Structure Set -2
- Objective questions of computer data structure set-3
- Objective Questions on Data Structure and Algorithm set-4
- MCQ of Data Structure and Algorithm with Answer set-5
- Solved Objective Questions on Data Structure set-6
Data Structure MCQ Questions on Stack and Queue
This section includes data structure MCQ questions on an overview of the stack and its implementation along with related algorithms for push and pop, and various stack implementation arrays. It also includes multiple-choice questions on an overview of queues, different types of queues with their operations, and the implementation of queues.
- Solved MCQ on Stack and Queue in Data Structure set-1
- Interview Questions on Stack and Queue in Data Structure set-2
Data Structure MCQ Questions on Tree and Graph
This section covers the data structure MCQ questions on the introduction of trees, definitions, binary trees, various operations of a binary tree and binary search tree, height-balanced trees, A-A trees, and AVL trees. It also includes interview questions on an overview of graphs, adjacency lists, adjacency matrices, depth-first traversal, breadth-first traversal, design of minimum spanning trees, Kruskal’s algorithm, Prim’s algorithm, Dijkstra and Bellman-Ford algorithms, and spanning trees.
- Solved MCQ on Tree and Graph in Data Structure set-1
- Objective Questions on Tree and Graph in Data Structure set-2
- Top 20 MCQs on Minimum Spanning Trees And Algorithms
- Top 20 MCQ Questions On Trees And Their Applications
Data Structure MCQ Questions on List and Linked List
This section covers the multiple-choice questions on the introduction of lists, linear lists, linked lists, typical basic linked list operations, singly linked lists, circular singly linked lists, doubly linked lists, and their operations. It also includes MCQ questions on the singly linked list, circular header, two-way list, doubly linked list, header linked list, and the disadvantage in using a circular linked list on the list and linked list in the data structure
- Solved MCQ on List and Linked List in Data Structure set-1
- Objective Questions on List and Linked List in Data Structure set-2
MCQs on Searching, Merging, and Sorting Methods in Data Structure
This section includes the introduction of searching methods, basic searching techniques, linear search, binary search, hash search, and binary tree search. It also includes the introduction of sorting methods and several performance criteria to be used in evaluating a sorting algorithm along with different internal and external sorting methods: insertion sort, bubble sort, selection sort, shell sort, merge sort, and 2-way merge sort.
- MCQ on Searching, Merging, and Sorting Methods in Data Structure set-1
- Solved MCQ on Searching and Sorting Algorithms in Data Structure set-2
FAQs for Data Structure MCQ Questions
Which types of data structure MCQ questions do these include?
It covers all the aspects of a data structure, its size, and how it is organized. These consist of the basic building blocks, such as arrays, linked lists, stacks, and queues, as well as more advanced structures such as trees and graphs. Questions usually deal with attributes, algorithms, implementation, and usage of these structures, as well as complexity analysis regarding time and space consumption and problem-solving approaches. It is wide in coverage, ranging from the basics of data organization to the advanced topics of implementation of algorithms and programming languages.
Will practicing data structure MCQs help me improve my problem-solving?
MCQ questions on data structure help in problem-solving skills. They can be a difference maker as they present trainees with a range of new situations and stimulate fast thinking and decision-making. By summarizing questions in a few lines, the MCQ process will train your mind to isolate relevant material quickly and apply the appropriate approach—a key part of problem-solving. Practice with MCQs makes perfect. Not only should you be studying the content, but you should also be practicing your test-taking skills. Further, MCQs give immediate feedback, which enables fast learning from mistakes and practice that ultimately leads the learner to construct a sound problem-solving model that can be applied to more non-trivial problems involved in programming and algorithm design.
Is it good enough to practice MCQs on data structures for interviews?
Data structure MCQ questions are helpful for interview preparation. It helps you to speed up, refresh your memory on the essential concepts and patterns, and lets you improve problem-solving speed and accuracy—all important for technical interviews. Since MCQs can have questions from a diverse sphere, aspirants never know what you might require, hence the all-around approach.
Do data structure MCQ questions have varying difficulty levels?
Yes, data structure MCQ questions of varying difficulty levels are provided for you to practice based on your learning and expertise. Introductory content is just that: introductory. Intermediate problems may include reasoning about the behavior of data structures in special cases or comparing two different data structures. More advanced ones may need knowledge of complicated algorithms or a combination.
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