Explore topic-wise MCQs in Master of Science in Computer Science (M.Sc CS).

This section includes 69 Mcqs, each offering curated multiple-choice questions to sharpen your Master of Science in Computer Science (M.Sc CS) knowledge and support exam preparation. Choose a topic below to get started.

51.

To which does the local structure is associated?

A. hybrid
B. dependent
C. linear
D. none of the mentioned
Answer» D. none of the mentioned
Discussion
52.

How the compactness of the Bayesian network can be described?

A. locally structured
B. fully structured
C. partial structure
D. all of the mentioned
Answer» B. fully structured
Discussion
53.

How the Bayesian network can be used to answer any query?

A. full distribution
B. joint distribution
C. partial distribution
D. all of the mentioned
Answer» C. partial distribution
Discussion
54.

What is needed to make probabilistic systems feasible in the world?

A. reliability
B. crucial robustness
C. feasibility
D. none of the mentioned
Answer» C. feasibility
Discussion
55.

How many terms are required for building a Bayesian model?

A. 1
B. 2
C. 3
D. 4
Answer» D. 4
Discussion
56.

What is the consequence between a node and its predecessors while creating Bayesian network?

A. conditionally dependent
B. dependent
C. conditionally independent
D. both a & b
Answer» D. both a & b
Discussion
57.

Which condition is used to influence a variable directly by all the others?

A. partially connected
B. fully connected
C. local connected
D. none of the mentioned
Answer» C. local connected
Discussion
58.

____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic.

A. fuzzy relational db
B. ecorithms
C. fuzzy set
D. none of the mentioned
Answer» D. none of the mentioned
Discussion
59.

______________ is/are the way/s to represent uncertainty.

A. fuzzy logic
B. probability
C. entropy
D. all of the mentioned
Answer» E.
Discussion
60.

Fuzzy logic is usually represented as

A. if-then-else rules
B. if-then rules
C. both a & b
D. none of the mentioned
Answer» C. both a & b
Discussion
61.

What does the Bayesian network provides?

A. complete description of the domain
B. partial description of the domain
C. complete description of the problem
D. none of the mentioned
Answer» B. partial description of the domain
Discussion
62.

Where does the Bayes rule can be used?

A. solving queries
B. increasing complexity
C. decreasing complexity
D. answering probabilistic query
Answer» E.
Discussion
63.

There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory.

A. hedges
B. lingual variable
C. fuzz variable
D. none of the mentioned
Answer» B. lingual variable
Discussion
64.

Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.

A. and
B. or
C. not
D. ex-or
Answer» D. ex-or
Discussion
65.

Which of the following is used for probability theory sentences?

A. conditional logic
B. logic
C. extension of propositional logic
D. none of the mentioned
Answer» D. none of the mentioned
Discussion
66.

What is meant by probability density function?

A. probability distributions
B. continuous variable
C. discrete variable
D. probability distributions for continuous variables
Answer» E.
Discussion
67.

The values of the set membership is represented by

A. discrete set
B. degree of truth
C. probabilities
D. both b & c
Answer» C. probabilities
Discussion
68.

How many types of random variables are available?

A. 1
B. 2
C. 3
D. 4
Answer» D. 4
Discussion
69.

The truth values of traditional set theory is ____________ and that of fuzzy set is __________

A. either 0 or 1, between 0 & 1
B. between 0 & 1, either 0 or 1
C. between 0 & 1, between 0 & 1
D. either 0 or 1, either 0 or 1
Answer» B. between 0 & 1, either 0 or 1
Discussion