Divide and Conquer MCQs With Answers

Computer MCQs 360July 14, 2023

0 17 1 minute read

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

Divide and Conquer Online MCQs

By presenting 3 options to choose from, Divide and Conquer 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 Divide and Conquer Questions and Answers and click over the correct answer.

Test Name: Divide and Conquer MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

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Divide and Conquer

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1 / 40

Which problem-solving approach is used by the Karatsuba algorithm for fast multiplication of large integers?

Brute Force

Divide and Conquer

Dynamic Programming

2 / 40

What is the time complexity of Merge Sort in the worst case?

O(n^2)

O(n log n)

O(n)

3 / 40

What is the worst-case time complexity of QuickSelect for finding the k-th smallest element?

O(n log n)

O(n^2)

O(n)

4 / 40

Which algorithm uses the Divide and Conquer strategy to solve the Longest Common Subsequence problem efficiently?

Breadth-First Search

Divide and Conquer

Dynamic Programming

5 / 40

What is the primary purpose of using the Divide and Conquer approach in algorithm design?

Sort elements

Efficiently solve complex problems

Find the maximum solution

6 / 40

Which algorithm uses the Divide and Conquer strategy to solve the Closest Pair Problem efficiently?

Divide and Conquer

Bellman-Ford Algorithm

Floyd-Warshall Algorithm

7 / 40

Which sorting algorithm uses the Divide and Conquer approach?

Insertion Sort

Merge Sort

Bubble Sort

8 / 40

Which problem involves dividing an array into two halves, sorting them recursively, and then merging them?

Merge Sort

Breadth-First Search

Binary Search

9 / 40

What is the time complexity of Binary Search in the worst case?

O(log n)

O(n)

O(n log n)

10 / 40

What is the time complexity of merging two sorted arrays using a linear approach?

O(n^2)

O(n log n)

O(n)

11 / 40

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

O(n log n)

O(n^2)

O(n)

12 / 40

What is the main idea behind the Divide and Conquer strategy?

Merge all elements

Sort the elements

Divide the problem into smaller subproblems, solve them recursively, and combine the solutions

13 / 40

What is the time complexity of Merge Sort for sorting an array of n elements?

O(n^2)

O(n log n)

O(n)

14 / 40

What is the time complexity of the Karatsuba algorithm for multiplying two n-digit numbers?

O(n^log2(3))

O(n log n)

O(n^2)

15 / 40

Which algorithm uses the Divide and Conquer strategy to solve the Matrix Multiplication problem efficiently?

Insertion Sort

Strassen's Algorithm

Selection Sort

16 / 40

Which data structure is typically used in Divide and Conquer algorithms to merge two sorted arrays efficiently?

Heap

Merge Sort

Binary Search Tree

17 / 40

What is the time complexity of Graham's Scan for finding the Convex Hull of a set of points?

O(n)

O(n^2)

O(n log n)

18 / 40

Which problem involves breaking a problem into smaller, manageable parts and solving each part independently?

Divide and Conquer

Selection Sort

Heap Sort

19 / 40

Which problem-solving approach can be applied to efficiently compute the power of a number using recursion?

Factorization

Exponentiation

Integration

20 / 40

What is the time complexity of the Median of Medians Algorithm for finding the median?

O(n^2)

O(n log n)

O(n)

21 / 40

Which problem involves dividing a problem into smaller subproblems, solving each recursively, and then combining the solutions?

Divide and Conquer

Merge Sort

Insertion Sort

22 / 40

What is the primary advantage of using the Divide and Conquer approach over brute force?

Simplicity

Accuracy

Improved efficiency

23 / 40

What is the time complexity of the Divide and Conquer approach for the Closest Pair Problem?

O(n log n)

O(n^2)

O(n)

24 / 40

Which problem involves finding the closest pair of points among a set of points in the plane?

Traveling Salesman Problem

Closest Pair Problem

Longest Common Subsequence

25 / 40

Which algorithm uses the Divide and Conquer strategy to solve the Maximum Sum Non-Adjacent Problem efficiently?

Divide and Conquer

Dynamic Programming

Merge Sort

26 / 40

Which algorithm uses the Divide and Conquer strategy to solve the Maximum Subarray Problem efficiently?

Dijkstra's Algorithm

Merge Sort

Kadane's Algorithm

27 / 40

What is the time complexity of Strassen's Algorithm for matrix multiplication?

O(n^log2(7))

O(n log n)

O(n^2)

28 / 40

Which algorithm uses the Divide and Conquer strategy to find the median of an array efficiently?

Bubble Sort

Median of Medians Algorithm

Quick Sort

29 / 40

What is the time complexity of the Merge Sort algorithm in the worst case?

O(n^2)

O(n)

O(n log n)

30 / 40

What is the time complexity of the Divide and Conquer approach for computing a^b (a raised to the power b)?

O(n)

O(b)

O(log b)

31 / 40

Which problem involves finding an element in a sorted array using a Divide and Conquer approach?

Bubble Sort

Insertion Sort

Binary Search

32 / 40

Which problem-solving approach involves breaking down a problem into smaller parts and then solving each part independently?

Divide and Conquer

Dynamic Programming

Greedy Algorithm

33 / 40

Which algorithm uses the Divide and Conquer strategy to solve the Maximum Subarray Problem efficiently?

Breadth-First Search

Kadane's Algorithm

Dijkstra's Algorithm

34 / 40

Which problem involves finding the largest sum of non-adjacent numbers in an array of integers?

Shortest Path Problem

Bin Packing Problem

Maximum Sum Non-Adjacent Problem

35 / 40

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

O(n log n)

O(n^2)

O(n)

36 / 40

What is the time complexity of the Divide and Conquer approach for the Longest Common Subsequence problem?

O(n^2)

O(n log n)

O(n)

37 / 40

Which algorithm uses the Divide and Conquer approach to solve the Convex Hull problem?

Depth-First Search

Merge Sort

Graham's Scan

38 / 40

What is the time complexity of the Divide and Conquer approach for the Maximum Sum Non-Adjacent Problem?

O(n^2)

O(n)

O(n log n)

39 / 40

Which algorithm uses the Divide and Conquer strategy to find the k-th smallest element in an unsorted array?

Breadth-First Search

Dijkstra's Algorithm

QuickSelect

40 / 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

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Computer MCQs 360July 14, 2023

0 17 1 minute read