Welcome to the Algorithm Complexity MCQs Page

Dive deep into the fascinating world of Algorithm Complexity with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Algorithm Complexity, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Algorithm Complexity, 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 Data Structures and Algorithms.

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

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

Algorithm Complexity MCQs | Page 1 of 10

Explore more Topics under Data Structures and Algorithms

01

Data Structures Basics

02

Data Types and Abstraction

03

Arrays and Pointers

04

Linked Lists

05

Stacks and Queues

06

Recursion

07

Trees

08

Graphs

09

String Operations

10

Sorting and Searching

11

Object Oriented Programming

12

Dynamic Programming

Q1.

What is the worst case time complexity of linear search algorithm?

Ο(1)

Ο(n)

Ο(log n)

Ο(n2)

Discuss

Answer: (b).Ο(n)

Q2.

An algorithm is

a piece of code to be executed.

a loosely written code to make final code.

a step by step procedure to solve problem.

all of the above.

Discuss

Answer: (c).a step by step procedure to solve problem.

Q3.

In context with time-complexity, find the odd out −

Deletion from Linked List.

Searching in Hash Table

Adding edge in Adjacency Matrix

Heapify a Binary Heap

Discuss

Answer: (d).Heapify a Binary Heap

Q4.

Interpolation search is an improved variant of binary search. It is necessary for this search algorithm to work that −

data collection should be in sorted form and equally distributed.

data collection should be in sorted form and but not equally distributed.

data collection should be equally distributed but not sorted.

None of the above.

Discuss

Answer: (a).data collection should be in sorted form and equally distributed.

Q5.

If the array is already sorted, which of these algorithms will exhibit the best performance

Merge Sort

Insertion Sort

Quick Sort

Heap Sort

Discuss

Answer: (b).Insertion Sort

Q6.

Which of these algorithmic approach tries to achieve localized optimum solution −

Greedy approach

Divide and conquer approach

Dynamic approach

All of the above

Discuss

Answer: (a).Greedy approach

Q7.

Apriori analysis of an algorithm assumes that −

the algorithm has been tested before in real environment.

all other factors like CPU speed are constant and have no effect on implementation.

the algorithm needs not to be practical.

none of the above.

Discuss

Answer: (b).all other factors like CPU speed are constant and have no effect on implementation.

Q8.

What is the worst case run-time complexity of binary search algorithm?

Ο(n2)

Ο(nlog n)

Ο(n3)

Ο(n)

Discuss

Answer: (d).Ο(n)

Q9.

Apriory algorithm analysis does not include −

Time Complexity

Space Complexity

Program Complexity

None of the above

Discuss

Answer: (c).Program Complexity

Q10.

Time complexity of Depth First Traversal of is

Θ(|V|+|E|)

Θ(|V|)

Θ(|E|)

Θ(|V|*|E|)

Discuss

Answer: (a).Θ(|V|+|E|)

Page 1 of 10

Welcome to the Algorithm Complexity MCQs Page

Algorithm Complexity MCQs | Page 1 of 10

Explore more Topics under Data Structures and Algorithms

Data Structures Basics

Data Types and Abstraction

Arrays and Pointers

Linked Lists

Stacks and Queues

Recursion

Trees

Graphs

String Operations

Sorting and Searching

Object Oriented Programming

Dynamic Programming

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