Explore topic-wise MCQs in Database.

This section includes 9 Mcqs, each offering curated multiple-choice questions to sharpen your Database knowledge and support exam preparation. Choose a topic below to get started.

1.

THE_COMPLEXITY_OF_BINARY_SEARCH_ALGORITHM_IS?$

A. O(n)
B. O(log )
C. O(n2)
D. O(n log n)
Answer» C. O(n2)
2.

The_complexity_of_Bubble_sort_algorithm_is$

A. O(n)
B. O(log n)
C. O(n2)
D. O(n log n)
Answer» D. O(n log n)
3.

The complexity of a linear search algorithm i?

A. O(n)
B. O(log n)
C. O(n2)
D. O(n log n)
Answer» B. O(log n)
4.

The complexity of the average case of an algorithm is

A. Much more complicated to analyze than that of worst case
B. Much more simpler to analyze than that of worst case
C. Sometimes more complicated and some other times simpler than that of worst case
D. None of the mentioned
Answer» B. Much more simpler to analyze than that of worst case
5.

The Average case occur in linear search algorithm

A. When Item is somewhere in the middle of the array
B. When Item is not in the array at all
C. When Item is the last element in the array
D. When Item is the last element in the array or is not there at all
Answer» B. When Item is not in the array at all
6.

The Worst case occur in linear search algorithm when

A. Item is somewhere in the middle of the array
B. Item is not in the array at all
C. Item is the last element in the array
D. Item is the last element in the array or is not there at all
Answer» E.
7.

Which of the following case does not exist in complexity theory

A. Best case
B. Worst case
C. Average case
D. Null case
Answer» E.
8.

The time factor when determining the efficiency of an algorithm is measured by

A. Counting microseconds
B. Counting the number of key operations
C. Counting the number of statements
D. Counting the kilobytes of algorithm
Answer» C. Counting the number of statements
9.

Two main measures for the efficiency of an algorithm are

A. Processor and memory
B. Complexity and capacity
C. Time and space
D. Data and space
Answer» D. Data and space