Dynamic Programming MCQs With Answers

Computer MCQs 360July 14, 2023

0 14 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

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

Dijkstra's Algorithm

Kadane's Algorithm

Merge Sort

2 / 40

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

Merge Sort

Longest Substring Without Repeating Characters

Huffman Coding Problem

3 / 40

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

Bin Packing Problem

Shortest Path Problem

Maximum Subarray Problem

4 / 40

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

Sort elements

Recursive approach

Store solutions to subproblems

5 / 40

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

O(n log n)

O(n)

O(n^2)

6 / 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)

7 / 40

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

Huffman Coding Problem

Partition Problem

Knapsack Problem

8 / 40

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

O(n)

O(n^2)

O(n log n)

9 / 40

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

LIS Algorithm

Quick Sort

Bellman-Ford Algorithm

10 / 40

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

O(n^2)

O(n)

O(n log n)

11 / 40

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

O(n)

O(n^2)

O(n log n)

12 / 40

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

Merge Sort

Huffman Coding Problem

Stock Buy Sell Problem

13 / 40

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

O(m log n)

O(m + n)

O(m * n)

14 / 40

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

O(n^2)

O(n log n)

O(n)

15 / 40

What is the time complexity of the Longest Substring Algorithm?

O(n)

O(n log n)

O(n^2)

16 / 40

What is the time complexity of the Partition Problem Algorithm?

O(n * sum)

O(n log n)

O(n^2)

17 / 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

18 / 40

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

Breadth-First Search

Longest Common Subsequence Algorithm

Depth-First Search

19 / 40

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

Partition Problem Algorithm

Bellman-Ford Algorithm

Quick Sort

20 / 40

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

Stock Buy Sell Algorithm

Dijkstra's Algorithm

Quick Sort

21 / 40

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

O(V * E)

O(E log V)

O(V^2)

22 / 40

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

Huffman Coding Problem

Minimum Path Sum Problem

Job Scheduling Problem

23 / 40

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

Longest Substring Algorithm

Depth-First Search

Breadth-First Search

24 / 40

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

Huffman Coding Problem

Max Sum Non-Adjacent Algorithm

Merge Sort

25 / 40

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

Activity Selection Problem

Maximum Sum Non-Adjacent Problem

Bin Packing Problem

26 / 40

What is the time complexity of the Min Jumps Algorithm?

O(n)

O(n^2)

O(n log n)

27 / 40

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

Merge Sort

Bellman-Ford Algorithm

Depth-First Search

28 / 40

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

Depth-First Search

Breadth-First Search

Longest Palindromic Subsequence Algorithm

29 / 40

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

Merge Sort

Min Jumps Algorithm

Huffman Coding Problem

30 / 40

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

Huffman Coding Problem

Merge Sort

Longest Palindromic Subsequence

31 / 40

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

Minimum Spanning Tree

Shortest Path Problem

Longest Increasing Subsequence

32 / 40

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

Knapsack Problem

Shortest Path Problem

Coin Change Problem

33 / 40

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

Edit Distance Problem

Huffman Coding Problem

Job Scheduling Problem

34 / 40

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

Dijkstra's Algorithm

Merge Sort

Edit Distance Algorithm

35 / 40

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

O(m * n)

O(m log n)

O(m + n)

36 / 40

What is the time complexity of the Edit Distance Algorithm?

O(m * n)

O(m log n)

O(m + n)

37 / 40

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

Dijkstra's Algorithm

Quick Sort

DP Min Path Sum Algorithm

38 / 40

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

Merge Sort

Max Product Subarray Algorithm

Huffman Coding Problem

39 / 40

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

Maximum Product Subarray Problem

Activity Selection Problem

Bin Packing Problem

40 / 40

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

Minimum Jumps to Reach End Problem

Maximum Product Subarray Problem

Bin Packing Problem

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Computer MCQs 360July 14, 2023

0 14 1 minute read