 
			 
			MCQOPTIONS
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				This section includes 9 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_APPROACH_IS_TO_PRETEND_THAT_A_PURE_DIVIDE_AND_CONQUER_ALGORITHM_WILL_WORK??$ | 
| A. | Goal independence | 
| B. | Subgoal independence | 
| C. | Both Goal & Subgoal independence | 
| D. | None of the mentioned | 
| Answer» C. Both Goal & Subgoal independence | |
| 2. | What will happen if a predecessor description is generated that is satisfied by the initial state of the planning problem? | 
| A. | Success | 
| B. | Error | 
| C. | Compilation | 
| D. | Termination | 
| Answer» E. | |
| 3. | What is meant by consistent in state-space search? | 
| A. | Change in the desired literals | 
| B. | Not any change in the literals | 
| C. | No change in goal state | 
| D. | None of the mentioned | 
| Answer» C. No change in goal state | |
| 4. | What is the main advantage of backward state-space search? | 
| A. | Cost | 
| B. | Actions | 
| C. | Relevant actions | 
| D. | All of the mentioned | 
| Answer» D. All of the mentioned | |
| 5. | How many states are available in state-space search? | 
| A. | 1 | 
| B. | 2 | 
| C. | 3 | 
| D. | 4 | 
| Answer» E. | |
| 6. | What is the other name for forward state-space search? | 
| A. | Progression planning | 
| B. | Regression planning | 
| C. | Test planning | 
| D. | None of the mentioned | 
| Answer» B. Regression planning | |
| 7. | How many ways are available to solve the state-space search? | 
| A. | 1 | 
| B. | 2 | 
| C. | 3 | 
| D. | 4 | 
| Answer» C. 3 | |
| 8. | What are taken into account of state-space search? | 
| A. | Postconditions | 
| B. | Preconditions | 
| C. | Effects | 
| D. | Both Preconditions & Effects | 
| Answer» E. | |
| 9. | Which is the most straightforward approach for planning algorithm? | 
| A. | Best-first search | 
| B. | State-space search | 
| C. | Depth-first search | 
| D. | Hill-climbing search | 
| Answer» C. Depth-first search | |