Explore topic-wise MCQs in Data Structure.

This section includes 8 Mcqs, each offering curated multiple-choice questions to sharpen your Data Structure knowledge and support exam preparation. Choose a topic below to get started.

1.

What is the time complexity of the divide and conquer algorithm used to find the maximum sub-array sum?

A. O(n)
B. O(logn)
C. O(nlogn)
D. O(n2)
Answer» D. O(n2)
Discussion
2.

What is the output of the following naive method used to find the maximum sub-array sum?

A. 6
B. 9
C. 7
D. 4View Answer
Answer» D. 4View Answer
Discussion
3.

What is the space complexity of the following naive method used to find the maximum sub-array sum in an array containing n elements?

A. O(n2)
B. O(1)
C. O(n3)
D. O(n)View Answer
Answer» C. O(n3)
Discussion
4.

What is the time complexity of the following naive method used to find the maximum sub-array sum in an array containing n elements?

A. O(n2)
B. O(n)
C. O(n3)
D. O(1)View Answer
Answer» B. O(n)
Discussion
5.

Consider the following naive method to find the maximum sub-array sum: Which line should be inserted to complete the above code?

A. tmp_max = cur_max
B. break
C. continue
D. cur_max = tmp_maxView Answer
Answer» E.
Discussion
6.

Find the maximum sub-array sum for the given elements. {-2, -1, -3, -4, -1, -2, -1, -5, -4}

A. -3
B. 5
C. 3
D. -1
Answer» E.
Discussion
7.

Find the maximum sub-array sum for the given elements. {2, -1, 3, -4, 1, -2, -1, 5, -4}

A. 3
B. 5
C. 8
D. 6
Answer» C. 8
Discussion
8.

Given a one-dimensional array of integers, you have to find a sub-array with maximum sum. This is the maximum sub-array sum problem. Which of these methods can be used to solve the problem?

A. Dynamic programming
B. Two for loops (naive method)
C. Divide and conquer
D. Divide and conquerd) Dynamic programming, naïve method and Divide and conquer methods
Answer» E.
Discussion