Explore topic-wise MCQs in Data Structures and Algorithms.

This section includes 16 Mcqs, each offering curated multiple-choice questions to sharpen your Data Structures and Algorithms knowledge and support exam preparation. Choose a topic below to get started.

1.

What is the value stored in max_val[5] after the following program is executed?

A. 12
B. 27
C. 10
D. 17View Answer
Answer» B. 27
Discussion
2.

What is the output of the following program?

A. 9
B. 10
C. 11
D. 12View Answer
Answer» E.
Discussion
3.

What is the space complexity of the following dynamic programming implementation of the rod cutting problem?

A. O(1)
B. O(n)
C. O(n2)
D. O(2n)View Answer
Answer» C. O(n2)
Discussion
4.

What is the time complexity of the following dynamic programming implementation of the rod cutting problem?

A. O(1)
B. O(n)
C. O(n2)
D. O(2n)View Answer
Answer» D. O(2n)View Answer
Discussion
5.

For every rod cutting problem there will be a unique set of pieces that give the maximum price.a) Trueb) False Which line will complete the ABOVE code?

A. Trueb) False Which line will complete the ABOVE code?a) prices[j-1] + max_val[tmp_idx]
B. False Which line will complete the ABOVE code?a) prices[j-1] + max_val[tmp_idx] b) prices[j] + max_val[tmp_idx]
C. prices[j-1] + max_val[tmp_idx – 1]
D. prices[j] + max_val[tmp_idx – 1] View Answer
Answer» C. prices[j-1] + max_val[tmp_idx – 1]
Discussion
6.

What will be the value stored in max_value when the following code is executed?

A. 5
B. 6
C. 7
D. 8View Answer
Answer» D. 8View Answer
Discussion
7.

What is the space complexity of the following recursive implementation?

A. O(1)
B. O(logn)
C. O(nlogn)
D. O(n!)View Answer
Answer» B. O(logn)
Discussion
8.

What is the time complexity of the following recursive implementation?

A. O(n)
B. O(n2)
C. O(n3)
D. O(2n)View Answer
Answer» E.
Discussion
9.

Consider the following recursive implementation of the rod cutting problem: Complete the above code.

A. max_price, prices[i] + rod_cut(prices,len – i – 1)
B. max_price, prices[i – 1].
C. max_price, rod_cut(prices, len – i – 1)
D. max_price, prices[i – 1] + rod_cut(prices,len – i – 1)View Answer
Answer» B. max_price, prices[i – 1].
Discussion
10.

You are given a rod of length 10 and the following prices. Which of these pieces give the maximum price?

A. {1,2,7}
B. {10}
C. {2,2,6}
D. {1,4,5}View Answer
Answer» D. {1,4,5}View Answer
Discussion
11.

You are given a rod of length 5 and the prices of each length are as follows: What is the maximum value that you can get after cutting the rod and selling the pieces?

A. 10
B. 11
C. 12
D. 13View Answer
Answer» D. 13View Answer
Discussion
12.

WHAT_IS_THE_SPACE_COMPLEXITY_OF_THE_ABOVE_RECURSIVE_IMPLEMENTATION??$

A. O(1)
B. O(logn)
C. O(nlogn)
D. O(n!)
Answer» B. O(logn)
Discussion
13.

For every rod cutting problem there will be a unique set of pieces that give the maximum price.

A. True
B. False
Answer» C.
Discussion
14.

What is the time complexity of the ABOVE recursive implementation?

A. O(n)
B. O(n<sup>2</sup>)
C. O(n<sup>3</sup>)
D. O(2<sup>n</sup>)
Answer» C. O(n<sup>3</sup>)
Discussion
15.

Consider the brute force implementation of the rod cutting problem in which all the possible cuts are found and the maximum value is calculated. What is the time complexity of this brute force implementation?

A. O(n<sup>2</sup>)
B. O(n<sup>3</sup>)
C. O(nlogn)
D. O(2<sup>n</sup>)
Answer» D. O(2<sup>n</sup>)
Discussion
16.

Given a rod of length n and the selling prices of all pieces smaller than equal to n, find the most beneficial way of cutting the rod into smaller pieces. This problem is called the rod cutting problem. Which of these methods can be used to solve the rod cutting problem?

A. Brute force
B. Dynamic programming
C. Recursion
D. All of the mentioned
Answer» E.
Discussion