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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 | |