Dynamic Programming MCQs With Answers

Computer MCQs 360July 14, 2023

0 20 1 minute read

Welcome to the Dynamic Programming MCQs with Answers. In this post, we have shared Dynamic Programming Online Test for different competitive exams. Find practice Dynamic Programming Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Dynamic Programming.

Dynamic Programming Online MCQs

By presenting 3 options to choose from, Dynamic Programming Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Dynamic Programming Questions and Answers and click over the correct answer.

Test Name: Dynamic Programming MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

Note: Answer of the questions will change randomly each time you start the test. Practice each quiz test at least 3 times if you want to secure High Marks. Once you are finished, click the View Results button. If any answer looks wrong to you in Quizzes. simply click on question and comment below that question. so that we can update the answer in the quiz section.

Dynamic Programming

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1 / 40

What is the time complexity of the Longest Palindromic Subsequence Algorithm?

O(n log n)

O(n^2)

O(n)

2 / 40

What is the time complexity of the Stock Buy Sell Algorithm?

O(n log n)

O(n)

O(n^2)

3 / 40

Which algorithm uses Dynamic Programming to solve the Shortest Path Problem efficiently?

Bellman-Ford Algorithm

Depth-First Search

Merge Sort

4 / 40

What is the time complexity of the Max Sum Non-Adjacent Algorithm?

O(n^2)

O(n)

O(n log n)

5 / 40

Which problem involves finding the maximum profit by buying and selling stocks on given days?

Huffman Coding Problem

Stock Buy Sell Problem

Merge Sort

6 / 40

Which algorithm uses Dynamic Programming to solve the Stock Buy Sell Problem efficiently?

Dijkstra's Algorithm

Stock Buy Sell Algorithm

Quick Sort

7 / 40

What is the time complexity of the Longest Substring Algorithm?

O(n)

O(n^2)

O(n log n)

8 / 40

Which algorithm uses Dynamic Programming to solve the Longest Increasing Subsequence Problem?

Bellman-Ford Algorithm

Quick Sort

LIS Algorithm

9 / 40

Which problem involves finding the longest substring without repeating characters in a string?

Longest Substring Without Repeating Characters

Huffman Coding Problem

Merge Sort

10 / 40

Which problem involves finding the maximum sum of non-adjacent elements in an array?

Bin Packing Problem

Activity Selection Problem

Maximum Sum Non-Adjacent Problem

11 / 40

Which algorithm uses Dynamic Programming to solve the Longest Substring Without Repeating Characters Problem?

Longest Substring Algorithm

Breadth-First Search

Depth-First Search

12 / 40

Which problem involves finding the longest increasing subsequence in an array of integers?

Longest Increasing Subsequence

Shortest Path Problem

Minimum Spanning Tree

13 / 40

Which algorithm uses Dynamic Programming to solve the Minimum Path Sum Problem efficiently?

Quick Sort

DP Min Path Sum Algorithm

Dijkstra's Algorithm

14 / 40

What is the time complexity of the Max Product Subarray Algorithm?

O(n)

O(n log n)

O(n^2)

15 / 40

What is the time complexity of the Partition Problem Algorithm?

O(n log n)

O(n^2)

O(n * sum)

16 / 40

Which problem involves finding the shortest path from a source vertex to a target vertex in a weighted graph?

Coin Change Problem

Shortest Path Problem

Knapsack Problem

17 / 40

What is the time complexity of the Edit Distance Algorithm?

O(m log n)

O(m * n)

O(m + n)

18 / 40

Which problem involves finding the longest palindromic subsequence in a given string?

Longest Palindromic Subsequence

Merge Sort

Huffman Coding Problem

19 / 40

Which problem involves finding the minimum cost to reach the last cell of a grid from its top-left cell?

Job Scheduling Problem

Minimum Path Sum Problem

Huffman Coding Problem

20 / 40

What is the time complexity of Kadane's Algorithm for the Maximum Subarray Problem?

O(n^2)

O(n log n)

O(n)

21 / 40

What is the time complexity of the Longest Common Subsequence Algorithm using DP?

O(m + n)

O(m log n)

O(m * n)

22 / 40

Which algorithm uses Dynamic Programming to solve the Longest Palindromic Subsequence Problem?

Longest Palindromic Subsequence Algorithm

Depth-First Search

Breadth-First Search

23 / 40

Which problem involves finding the maximum sum of a contiguous subarray in an array of integers?

Shortest Path Problem

Bin Packing Problem

Maximum Subarray Problem

24 / 40

Which algorithm uses Dynamic Programming to solve the Maximum Product Subarray Problem?

Max Product Subarray Algorithm

Merge Sort

Huffman Coding Problem

25 / 40

What is the time complexity of the LIS Algorithm for the Longest Increasing Subsequence Problem?

O(n log n)

O(n^2)

O(n)

26 / 40

Which problem-solving technique involves breaking down a problem into simpler subproblems and storing the results to avoid redundant computations?

Divide and Conquer

Greedy Algorithm

Dynamic Programming

27 / 40

Which algorithm uses Dynamic Programming to solve the Maximum Subarray Problem efficiently?

Merge Sort

Dijkstra's Algorithm

Kadane's Algorithm

28 / 40

What is the time complexity of the Bellman-Ford Algorithm for the Shortest Path Problem?

O(E log V)

O(V * E)

O(V^2)

29 / 40

Which problem involves finding the maximum product subset of an array?

Maximum Product Subarray Problem

Activity Selection Problem

Bin Packing Problem

30 / 40

Which algorithm uses Dynamic Programming to solve the Partition Problem efficiently?

Bellman-Ford Algorithm

Quick Sort

Partition Problem Algorithm

31 / 40

What is the time complexity of the DP Min Path Sum Algorithm for the Minimum Path Sum Problem?

O(m * n)

O(m + n)

O(m log n)

32 / 40

What is the primary characteristic of Dynamic Programming (DP) algorithms?

Recursive approach

Sort elements

Store solutions to subproblems

33 / 40

Which problem involves partitioning a set into two subsets such that the difference of their sums is minimized?

Knapsack Problem

Partition Problem

Huffman Coding Problem

34 / 40

Which algorithm uses Dynamic Programming to solve the Minimum Jumps to Reach End Problem?

Min Jumps Algorithm

Huffman Coding Problem

Merge Sort

35 / 40

Which problem involves finding the minimum number of edits (insertions, deletions, or substitutions) required to convert one string into another?

Job Scheduling Problem

Edit Distance Problem

Huffman Coding Problem

36 / 40

Which algorithm uses Dynamic Programming to solve the Edit Distance Problem efficiently?

Merge Sort

Dijkstra's Algorithm

Edit Distance Algorithm

37 / 40

What is the time complexity of the Min Jumps Algorithm?

O(n)

O(n^2)

O(n log n)

38 / 40

Which problem involves finding the minimum number of jumps needed to reach the last index of an array?

Bin Packing Problem

Maximum Product Subarray Problem

Minimum Jumps to Reach End Problem

39 / 40

Which algorithm uses Dynamic Programming to solve the Maximum Sum Non-Adjacent Problem?

Max Sum Non-Adjacent Algorithm

Merge Sort

Huffman Coding Problem

40 / 40

Which algorithm efficiently finds the longest common subsequence between two sequences?

Longest Common Subsequence Algorithm

Breadth-First Search

Depth-First Search

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Computer MCQs 360July 14, 2023

0 20 1 minute read