Explore topic-wise MCQs in Data Structures and Algorithms.

This section includes 15 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 space complexity of the following dynamic programming implementation used to compute the nth fibonacci term?

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

What is the time complexity of the following dynamic programming implementation used to compute the nth fibonacci term?

A. O(1)
B. O(n)
C. O(n2)
D. ExponentialView Answer
Answer» C. O(n2)
Discussion
3.

Consider the following code to find the nth fibonacci term using dynamic programming: Which technique is used by line 7 of the above code?

A. Greedy
B. Recursion
C. Memoization
D. Overlapping subproblemsView Answer
Answer» D. Overlapping subproblemsView Answer
Discussion
4.

Consider the following code to find the nth fibonacci term using dynamic programming: Which property is shown by line 7 of the above code?

A. Optimal substructure
B. Overlapping subproblems
C. Both overlapping subproblems and optimal substructure
D. Greedy substructureView Answer
Answer» B. Overlapping subproblems
Discussion
5.

What will be the output when the following code is executed?

A. 34
B. 55
C. Compile error
D. Runtime errorView Answer
Answer» C. Compile error
Discussion
6.

What is the space complexity of the following for loop method used to compute the nth fibonacci term?

A. O(1)
B. O(n)
C. O(n2)
D. ExponentialView Answer
Answer» B. O(n)
Discussion
7.

What is the time complexity of the following for loop method used to compute the nth fibonacci term?

A. O(1)
B. O(n)
C. O(n2)
D. ExponentialView Answer
Answer» C. O(n2)
Discussion
8.

Suppose we find the 8th term using the recursive implementation. The arguments passed to the function calls will be as follows: Which property is shown by the above function calls?

A. Memoization
B. Optimal substructure
C. Overlapping subproblems
D. GreedyView Answer
Answer» D. GreedyView Answer
Discussion
9.

Consider the recursive implementation to find the nth fibonacci number: Which line would make the implementation complete?

A. fibo(n) + fibo(n)
B. fibo(n) + fibo(n – 1)
C. fibo(n – 1) + fibo(n + 1)
D. fibo(n – 1) + fibo(n – 2)View Answer
Answer» E.
Discussion
10.

The following sequence is a fibonacci sequence:0, 1, 1, 2, 3, 5, 8, 13, 21,…..Which technique can be used to get the nth fibonacci term?

A. Recursion
B. Dynamic programming
C. A single for loop
D. Recursion, Dynamic Programming, For loops
Answer» E.
Discussion
11.

WHAT_IS_THE_SPACE_COMPLEXITY_OF_THE_RECURSIVE_IMPLEMENTATION_USED_TO_FIND_THE_NTH_FIBONACCI_TERM??$

A. O(1)
B. O(n)
C. O(n<sup>2</sup>)
D. O(n<sup>3</sup>)
Answer» B. O(n)
Discussion
12.

What is the space complexity of the ABOVE for loop method used to compute the nth fibonacci term?

A. O(1)
B. O(n)
C. O(n<sup>2</sup>)
D. Exponential
Answer» C. O(n<sup>2</sup>)
Discussion
13.

What is the time complexity of the ABOVE for loop method used to compute the nth fibonacci term ?

A. O(1)
B. O(n)
C. O(n<sup>2</sup>)
D. Exponential
Answer» D. Exponential
Discussion
14.

125355638?

A. 5635632456
B. Garbage value
C. Runtime error
Answer» C. Runtime error
Discussion
15.

What is the time complexity of the recursive implementation used to find the nth fibonacci term?

A. O(1)
B. O(n<sup>2</sup>)
C. O(n!)
D. Exponential
Answer» D. Exponential
Discussion