Algorithms

Dynamic Programming MCQs With Answers

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.

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Dynamic Programming MCQs

Dynamic Programming

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1 / 40

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

2 / 40

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

3 / 40

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

4 / 40

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

5 / 40

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

6 / 40

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

7 / 40

What is the time complexity of the Partition Problem Algorithm?

8 / 40

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

9 / 40

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

10 / 40

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

11 / 40

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

12 / 40

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

13 / 40

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

14 / 40

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

15 / 40

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

16 / 40

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

17 / 40

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

18 / 40

What is the time complexity of the Longest Substring Algorithm?

19 / 40

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

20 / 40

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

21 / 40

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

22 / 40

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

23 / 40

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

24 / 40

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

25 / 40

What is the time complexity of the Min Jumps Algorithm?

26 / 40

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

27 / 40

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

28 / 40

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

29 / 40

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

30 / 40

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

31 / 40

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

32 / 40

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

33 / 40

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

34 / 40

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

35 / 40

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

36 / 40

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

37 / 40

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

38 / 40

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

39 / 40

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

40 / 40

What is the time complexity of the Edit Distance Algorithm?

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