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Welcome to the Data Structures and Algorithms MCQs Page

Dive deep into the fascinating world of Data Structures and Algorithms with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Structures and Algorithms, a crucial aspect of GATE CSE Exam. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Structures and Algorithms, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within GATE CSE Exam.

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Check out the MCQs below to embark on an enriching journey through Data Structures and Algorithms. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of GATE CSE Exam.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Structures and Algorithms. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Structures and Algorithms MCQs | Page 17 of 30

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Q161.
The Single Source Shortest path algorithm takes……..time.

a.

O(log n)

b.

O(n)

c.

O(nlog n)

d.

O(n*n)

Discuss
Answer: (d).O(n*n)
Q162.
Time required to find an element at level i of a tree is

a.

O(n*i)

b.

O(log i)

c.

O(ilog n)

d.

O(i)

Discuss
Answer: (d).O(i)
Q163.
What are the number of spanning trees possible from a graph containing n vertices?

a.

n²

b.

2n

c.

n(n+1)

d.

n⁽ⁿ⁻²⁾

Discuss
Answer: (d).n⁽ⁿ⁻²⁾
Q164.
The best average behavior is shown by

a.

Quick Sort

b.

Merge Sort

c.

Insertion Sort

d.

Heap Sort

Discuss
Answer: (a).Quick Sort
Q165.
Divide and Conquer is an important algorithm design paradigm based on

a.

Iteration

b.

recursion

c.

multi-branched iteration

d.

multi-branched recursion

Discuss
Answer: (d).multi-branched recursion
Q166.
What is the time complexity for printing a list of n items to the screen, looking at each item once?

a.

O(1)

b.

O(n+m)

c.

O(n³)

d.

O(n)

Discuss
Answer: (d).O(n)
Q167.
What is the time complexity for taking a list of n items, and comparing every item to every other item?

a.

O(n²)

b.

O(n)

c.

O(log n)

d.

O(nᶜ)

Discuss
Answer: (a).O(n²)
Q168.
The knapsack problem is also called as…….problem.

a.

Item sack

b.

Weight sack

c.

rucksack

d.

profit sack

Discuss
Answer: (c).rucksack
Q169.
What is the (exact) solution to the travelling salesman problem using dynamic programming (c>1), where c is any constant?

a.

O(nᶜ)

b.

O(log n)

c.

O(mn)

d.

O(cⁿ)

Discuss
Answer: (d).O(cⁿ)
Q170.
The time complexity for solving the traveling salesman problem via brute-force search takes

a.

O(n!)

b.

O(n²)

c.

O(nlog n)

d.

O(n)

Discuss
Answer: (a).O(n!)
Page 17 of 30

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