Advanced Data Structures and Algorithms Analysis Quiz

Advanced Data Structures and Algorithms Analysis Quiz

University

30 Qs

quiz-placeholder

Similar activities

Advanced Data Structure and Algorithm Analysis CT-5 Remedial

Advanced Data Structure and Algorithm Analysis CT-5 Remedial

University

30 Qs

DAA Quiz AIML '26

DAA Quiz AIML '26

University

25 Qs

Adversarial Search and CSP Quiz

Adversarial Search and CSP Quiz

University

26 Qs

ALGO - Chapter 1-2

ALGO - Chapter 1-2

University

30 Qs

Algorithms final

Algorithms final

University

26 Qs

Design And Analysis of Algorithms

Design And Analysis of Algorithms

University

25 Qs

unit - 5 DAA

unit - 5 DAA

University

25 Qs

COCAT - DAA

COCAT - DAA

University - Professional Development

25 Qs

Advanced Data Structures and Algorithms Analysis Quiz

Advanced Data Structures and Algorithms Analysis Quiz

Assessment

Quiz

Computers

University

Easy

Created by

Sudheer Potharaju

Used 3+ times

FREE Resource

30 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following methods can be used to solve the Knapsack problem?

Brute force algorithm

Recursion

Dynamic programming

Brute force, Recursion and Dynamic Programming

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The 0-1 Knapsack problem can be solved using Greedy algorithm.

True

False

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following standard algorithms is not Dynamic Programming based?

Bellman–Ford Algorithm for single source shortest path

Floyd Warshall Algorithm for all pairs shortest paths

0-1 Knapsack problem

Prim's Minimum Spanning Tree

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the different techniques to solve dynamic programming problems:

Memoization

Bottom-Up

Both

None

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is memoization in the context of dynamic programming?

A technique to write memory-efficient programs.

A way to avoid solving subproblems by storing their solutions and reusing them.

A process of converting recursive algorithms into iterative ones.

A method of analyzing the time complexity of algorithms.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The time complexity of solving the 0-1 Knapsack Problem using dynamic programming with a bottom-up approach (tabulation) is:

O(n)

O(n log n)

O(n * capacity)

O(n * capacity^2)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The Knapsack problem is an example of ____________

Greedy algorithm

2D dynamic programming

1D dynamic programming

Divide and conquer

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?