Explore topic-wise MCQs in Data Structures and Algorithms.

This section includes 6 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.

Which of the following is the disadvantage of sparse matrices over normal matrices?

A. Size
B. Speed
C. Easily compressible
D. Algorithm complexity
Answer» E.
Discussion
2.

What is sparsity of a matrix?

A. The fraction of zero elements over the total number of elements
B. The fraction of non-zero elements over the total number of elements
C. The fraction of total number of elements over the zero elements
D. The fraction of total number of elements over the non-zero elements
Answer» B. The fraction of non-zero elements over the total number of elements
Discussion
3.

Suppose the contents of an array A are, A = {1, null, null, null, null, 10};What would be the size of the array considering it as a normal array and a sparse array?

A. 6 and 6
B. 6 and 2
C. 2 and 6
D. 2 and 2
Answer» C. 2 and 6
Discussion
4.

What is the difference between a normal(naive) array and a sparse array?

A. Sparse array can hold more elements than a normal array
B. Sparse array is memory efficient
C. Sparse array is dynamic
D. A naive array is more efficient
Answer» C. Sparse array is dynamic
Discussion
5.

When do you use a sparse array?

A. When there are unique elements in the array
B. When the array has more occurrence of zero elements
C. When the data type of elements differ
D. In all of the mentioned cases
Answer» C. When the data type of elements differ
Discussion
6.

What is a sparse array?

A. Data structure for representing arrays of records
B. Data structure that compactly stores bits
C. An array in which most of the elements have the same value
D. None of the mentioned
Answer» D. None of the mentioned
Discussion