# Bayesian Networks MCQs | Artificial Intelligence

Bayesian Networks MCQs based Questions & Answers on Artificial Intelligence.

Suppose you are creating a bayesian network. Which of the following is the outcome between a node and its predecessors?
(A). Conditionally independent
(B). Dependant
(C). Functionally dependent
(D). Both Conditionally dependant & Dependant
(E). None of these
The compactness of the bayesian network is related to?
(A). Partial structure
(B). Fully structured
(C). Locally structured
(D). All of the mentioned
(E). None of these
How many terms do we need to construct a Bayes model?
(A). 3
(B). 6
(C). 4
(D). 7
(E). None of these
Bayes rule can be used in?
(A). Solving queries
(B). Answering probabilistic query
(C). Decreasing complexity
(D). Increasing complexity
(E). None of these
Which of the following offers by the Bayesian network?
(A). Partial description of the domain
(B). A complete description of the domain
(C). A complete description of the problem
(D). None of these
Select the condition that is used to impact a variable directly by all other variables?
(A). Partially connected
(B). Local connected
(C). Fully connected
(D). None of these
Which of the following is desired to build probabilistic systems feasible in the world?
(A). Reliability
(B). Feasibility
(C). Crucial robustness
(D). None of these
We can calculate the entries in the full joint probability distribution by using the?
(A). variables
(B). information
(C). Both A and B
(D). None of these
The Bayesian network is very helpful to answer any query?
(A). Full distribution
(B). Partial distribution
(C). Joint distribution
(D). All of the mentioned
(E). None of these
Local structure is related to which of the following?
(A). Linear
(B). Dependant
(C). Hybrid
(D). None of these Prof.Fazal Rehman Shamil (Available for Professional Discussions)