Engineering Questions with Answers - Multiple Choice Questions
Artificial Intelligence MCQ – Bayesian Networks
1 - Question
How many terms are required for building a bayes model?
a) 1
b) 2
c) 3
d) 4
View Answer
Answer: c
Explanation: The three required terms are a conditional probability and two unconditional probability.
2 - Question
What is needed to make probabilistic systems feasible in the world?
a) Reliability
b) Crucial robustness
c) Feasibility
d) None of the mentioned
View Answer
Answer: b
Explanation: On a model-based knowledge provides the crucial robustness needed to make probabilistic system feasible in the real world.
3 - Question
Where does the bayes rule can be used?
a) Solving queries
b) Increasing complexity
c) Decreasing complexity
d) Answering probabilistic query
View Answer
Answer: d
Explanation: Bayes rule can be used to answer the probabilistic queries conditioned on one piece of evidence.
4 - Question
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
View Answer
Answer: a
Explanation: A Bayesian network provides a complete description of the domain.
5 - Question
How the entries in the full joint probability distribution can be calculated?
a) Using variables
b) Using information
c) Both Using variables & information
d) None of the mentioned
View Answer
Answer: b
Explanation: Every entry in the full joint probability distribution can be calculated from the information in the network.
6 - Question
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
View Answer
Answer: b
Explanation: If a bayesian network is a representation of the joint distribution, then it can solve any query, by summing all the relevant joint entries.
7 - Question
How the compactness of the bayesian network can be described?
a) Locally structured
b) Fully structured
c) Partial structure
d) All of the mentioned
View Answer
Answer: a
Explanation: The compactness of the bayesian network is an example of a very general property of a locally structured system.
8 - Question
To which does the local structure is associated?
a) Hybrid
b) Dependant
c) Linear
d) None of the mentioned
View Answer
Answer: c
Explanation: Local structure is usually associated with linear rather than exponential growth in complexity.
9 - Question
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
View Answer
Answer: b
Explanation: None.
10 - Question
What is the consequence between a node and its predecessors while creating bayesian network?
a) Functionally dependent
b) Dependant
c) Conditionally independent
d) Both Conditionally dependant & Dependant
View Answer
Answer: c
Explanation: The semantics to derive a method for constructing bayesian networks were led to the consequence that a node can be conditionally independent of its predecessors.