Explore topic-wise MCQs in Technical MCQs.

This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.

1.

Asymptotic analysis is _______ bound.

A. output
B. input
C. outer
D. inner
E.
Answer» C. outer
2.

The Theta notation is the formal way to express ____________ of an algorithm's running time.

A. upper bound
B. lower bound
C. lower bound and upper bound
D. None of the above
Answer» D. None of the above
3.

Omega Notation is the formal way to express the lower bound of an algorithm's running time.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
Answer» B. FALSE
4.

Ο(log n) is?

A. constant asymptotic notations
B. logarithmic asymptotic notations
C. polynomial asymptotic notations
D. quadratic asymptotic notations
Answer» C. polynomial asymptotic notations
5.

Which of the following is linear asymptotic notations?

A. Ο(1)
B. Ο(log n)
C. Ο(n)
D. Ο(n log n)
Answer» D. Ο(n log n)
6.

Worst Case indicates maximum time required for program execution.

A. Yes
B. No
C. Can be yes or no
D. Can not say
Answer» B. No
7.

__________ is the formal way to express the upper bound of an algorithm's running time.

A. Omega Notation
B. Theta Notation
C. Big Oh Notation
D. All of the above
Answer» D. All of the above
8.

Which case indicate the minimum time required for program execution?

A. best case
B. average case
C. worst case
D. None of the above
Answer» B. average case
9.

Using asymptotic analysis, we can very well conclude the __________ scenario of an algorithm.

A. best case
B. average case
C. worst case
D. best case, average case, and worst case
Answer» E.
10.

________ of an algorithm refers to defining the mathematical boundation/framing of its run-time performance.

A. Symptotic analysis
B. Asymptotic analysis
C. PosteriorAnalysis
D. PrioriAnalysis
Answer» C. PosteriorAnalysis