MCQOPTIONS
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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 | |