Explore topic-wise MCQs in Artificial Intelligence.

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

1.

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
2.

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
Answer» D. Both Conditionally dependant & Dependant
3.

To which does the local structure is associated?

A. Hybrid
B. Dependant
C. Linear
D. None of the mentioned
Answer» D. None of the mentioned
4.

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
5.

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
6.

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
Answer» C. Both Using variables & information
7.

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
8.

Where does the bayes rule can be used?

A. Solving queries
B. Increasing complexity
C. Decreasing complexity
D. Answering probabilistic query
Answer» E.
9.

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
10.

How many terms are required for building a bayes model?

A. 1
B. 2
C. 3
D. 4
Answer» D. 4