MCQOPTIONS
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MCQOPTIONS
This section includes 210 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. |
In linguistic morphology, _____________ is the process for reducing inflected words to their root form. |
| A. | Rooting |
| B. | Stemming |
| C. | Text-Proofing |
| D. | Both Rooting & Stemming |
| Answer» C. Text-Proofing | |
| 2. |
Morphological Segmentation |
| A. | Does Discourse Analysis |
| B. | Separate words into individual morphemes and identify the class of the morphemes |
| C. | Is an extension of propositional logic |
| D. | None of the mentioned |
| Answer» C. Is an extension of propositional logic | |
| 3. |
Machine Translation |
| A. | Converts one human language to another |
| B. | Converts human language to machine language |
| C. | Converts any human language to English |
| D. | Converts Machine language to human language |
| Answer» B. Converts human language to machine language | |
| 4. |
One of the main challenge/s of NLP Is ___________ |
| A. | Handling Ambiguity of Sentences |
| B. | Handling Tokenization |
| C. | Handling POS-Tagging |
| D. | All of the mentioned |
| Answer» B. Handling Tokenization | |
| 5. |
Which of the following “laws” is Asimov’s first and most important law of robotics? |
| A. | robot actions must never result in damage to the robot |
| B. | robots must never take actions harmful to humans |
| C. | robots must follow the directions given by humans |
| D. | robots must make business a greater profit |
| Answer» C. robots must follow the directions given by humans | |
| 6. |
Which of the following statements concerning implementation of robotic systems is correct? |
| A. | implementation of robots CAN save existing jobs |
| B. | implementation of robots CAN create new jobs |
| C. | robotics could prevent a business from closing |
| D. | all of the mentioned |
| Answer» E. | |
| 7. |
Which of the following IS NOT one of the advantages associated with a robotics implementation program? |
| A. | Low costs for hardware and software |
| B. | Robots work continuously around the clock |
| C. | Quality of manufactured goods can be improved |
| D. | Reduced company cost for worker fringe benefits |
| Answer» B. Robots work continuously around the clock | |
| 8. |
Which of the following terms refers to the use of compressed gasses to drive (power) the robot device? |
| A. | pneumatic |
| B. | hydraulic |
| C. | piezoelectric |
| D. | photosensitive |
| Answer» B. hydraulic | |
| 9. |
With regard to the physics of power systems used operate robots, which statement or statements is most correct? |
| A. | hydraulics involves the compression of liquids |
| B. | hydraulics involves the compression of air |
| C. | pneumatics involve the compression of air |
| D. | chemical batteries produce AC power |
| Answer» D. chemical batteries produce AC power | |
| 10. |
Which of the basic parts of a robot unit would include the computer circuitry that could be programmed to determine what the robot would do? |
| A. | sensor |
| B. | controller |
| C. | arm |
| D. | end effector |
| Answer» C. arm | |
| 11. |
For a robot unit to be considered a functional industrial robot, typically, how many degrees of freedom would the robot have? |
| A. | three |
| B. | four |
| C. | six |
| D. | eight |
| Answer» D. eight | |
| 12. |
The number of moveable joints in the base, the arm, and the end effectors of the robot determines_______ |
| A. | degrees of freedom |
| B. | payload capacity |
| C. | operational limits |
| D. | flexibility |
| Answer» B. payload capacity | |
| 13. |
How many types of 3-D image processing techniques are there in image perception? |
| A. | 3 |
| B. | 4 |
| C. | 5 |
| D. | 6 |
| Answer» D. 6 | |
| 14. |
Which are partially captured by triphone model? |
| A. | Articulation effects |
| B. | Coarticulation effects |
| C. | Both Articulation & Coarticulation effects |
| D. | None of the mentioned |
| Answer» C. Both Articulation & Coarticulation effects | |
| 15. |
Which is used to capture the internal structure of the phones? |
| A. | One-state phone model |
| B. | Two-state phone model |
| C. | Three-state phone mone |
| D. | All of the mentioned |
| Answer» D. All of the mentioned | |
| 16. |
Which model gives the probability of each word following each other word? |
| A. | Bigram model |
| B. | Diagram model |
| C. | Gram model |
| D. | Speech model |
| Answer» B. Diagram model | |
| 17. |
_____________ is measured by the number of mental structures we use, how abstract they are, and how elaborate they interact to shape our perceptions. |
| A. | intrapersonal structure |
| B. | perceptual set |
| C. | self-justification |
| D. | none of the mentioned |
| Answer» E. | |
| 18. |
A perception check is |
| A. | a cognitive bias that makes us listen only to information we already agree with |
| B. | a method teachers use to reward good listeners in the classroom |
| C. | any factor that gets in the way of good listening and decreases our ability to interpret correctly |
| D. | a response that allows you to state your interpretation and ask your partner whether or not that interpretation is correct |
| Answer» E. | |
| 19. |
____ prevents you from seeing an individual as an individual rather than as a member of a group. |
| A. | Cultural mores |
| B. | Stereotypes |
| C. | Schematas |
| D. | Attributions |
| Answer» D. Attributions | |
| 20. |
Semantic grammars: |
| A. | Encode semantic information into a syntactic grammar |
| B. | Decode semantic information into a syntactic grammar |
| C. | Encode syntactic information into a semantic grammar |
| D. | Decode syntactic information into a semantic grammar |
| Answer» B. Decode semantic information into a syntactic grammar | |
| 21. |
Pick out the correct option about the types of parsing. |
| A. | Top-down and bottom-up parsing |
| B. | Interpretation and communication |
| C. | Roll-up and roll-down |
| D. | None of the mentioned |
| Answer» B. Interpretation and communication | |
| 22. |
How many states are present in parsing? |
| A. | 1 |
| B. | 2 |
| C. | 3 |
| D. | 4 |
| Answer» D. 4 | |
| 23. |
Which approach is used for refining a very general rule through ILP? |
| A. | Top-down approach |
| B. | Bottom-up approach |
| C. | Both Top-down & Bottom-up approach |
| D. | None of the mentioned |
| Answer» B. Bottom-up approach | |
| 24. |
Which method can’t be used for expressing relational knowledge? |
| A. | Literal system |
| B. | Variable-based system |
| C. | Attribute-based system |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 25. |
Following are the advantage/s of Decision Trees. Choose that apply. |
| A. | Possible Scenarios can be added |
| B. | Use a white box model, If given result is provided by a model |
| C. | Worst, best and expected values can be determined for different scenarios |
| D. | All of the mentioned |
| Answer» E. | |
| 26. |
End Nodes are represented by _______ |
| A. | Disks |
| B. | Squares |
| C. | Circles |
| D. | Triangles |
| Answer» E. | |
| 27. |
Decision Nodes are represented by ____ |
| A. | Disks |
| B. | Squares |
| C. | Circles |
| D. | Triangles |
| Answer» C. Circles | |
| 28. |
Which of the following is an application of NN (Neural Network)? |
| A. | Sales forecasting |
| B. | Data validation |
| C. | Risk management |
| D. | All of the mentioned |
| Answer» E. | |
| 29. |
The network that involves backward links from output to the input and hidden layers is called as ____ |
| A. | Self organizing maps |
| B. | Perceptrons |
| C. | Recurrent neural network |
| D. | Multi layered perceptron |
| Answer» D. Multi layered perceptron | |
| 30. |
Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results |
| A. | True – this works always, and these multiple perceptrons learn to classify even complex problems |
| B. | False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do |
| C. | True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded |
| D. | False – just having a single perceptron is enough |
| Answer» D. False – just having a single perceptron is enough | |
| 31. |
Neural Networks are complex ______________ with many parameters. |
| A. | Linear Functions |
| B. | Nonlinear Functions |
| C. | Discrete Functions |
| D. | Exponential Functions |
| Answer» B. Nonlinear Functions | |
| 32. |
The name for the function in question 16 is |
| A. | Step function |
| B. | Step function |
| C. | Logistic function |
| D. | Perceptron function |
| Answer» C. Logistic function | |
| 33. |
Which of the following is not the promise of artificial neural network? |
| A. | It can explain result |
| B. | It can survive the failure of some nodes |
| C. | It has inherent parallelism |
| D. | It can handle noise |
| Answer» B. It can survive the failure of some nodes | |
| 34. |
Why are linearly separable problems of interest of neural network researchers? |
| A. | Because they are the only class of problem that network can solve successfully |
| B. | Because they are the only class of problem that Perceptron can solve successfully |
| C. | Because they are the only mathematical functions that are continue |
| D. | Because they are the only mathematical functions you can draw |
| Answer» C. Because they are the only mathematical functions that are continue | |
| 35. |
What is back propagation? |
| A. | It is another name given to the curvy function in the perceptron |
| B. | It is the transmission of error back through the network to adjust the inputs |
| C. | It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 36. |
Why is the XOR problem exceptionally interesting to neural network researchers? |
| A. | Because it can be expressed in a way that allows you to use a neural network |
| B. | Because it is complex binary operation that cannot be solved using neural networks |
| C. | Because it can be solved by a single layer perceptron |
| D. | Because it is the simplest linearly inseparable problem that exists. |
| Answer» E. | |
| 37. |
Neuro software is: |
| A. | A software used to analyze neurons |
| B. | It is powerful and easy neural network |
| C. | Designed to aid experts in real world |
| D. | It is software used by Neurosurgeon |
| Answer» C. Designed to aid experts in real world | |
| 38. |
Which is true for neural networks? |
| A. | It has set of nodes and connections |
| B. | Each node computes it’s weighted input |
| C. | Node could be in excited state or non-excited state |
| D. | All of the mentioned |
| Answer» E. | |
| 39. |
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is |
| A. | 000 or 110 or 011 or 101 |
| B. | 010 or 100 or 110 or 101 |
| C. | 000 or 010 or 110 or 100 |
| D. | 100 or 111 or 101 or 001 |
| Answer» D. 100 or 111 or 101 or 001 | |
| 40. |
A perceptron is a ______________ |
| A. | Feed-forward neural network |
| B. | Backpropagation algorithm |
| C. | Backtracking algorithm |
| D. | Feed Forward-backward algorithm |
| Answer» B. Backpropagation algorithm | |
| 41. |
Which is not a desirable property of a logical rule-based system? |
| A. | Locality |
| B. | Attachment |
| C. | Detachment |
| D. | Truth-Functionality |
| Answer» C. Detachment | |
| 42. |
Following is also called as exploratory learning: |
| A. | Supervised learning |
| B. | Active learning |
| C. | Unsupervised learning |
| D. | Reinforcement learning |
| Answer» D. Reinforcement learning | |
| 43. |
Which of the following is the component of learning system? |
| A. | Goal |
| B. | Model |
| C. | Learning rules |
| D. | All of the mentioned |
| Answer» E. | |
| 44. |
How the decision tree reaches its decision? |
| A. | Single test |
| B. | Two test |
| C. | Sequence of test |
| D. | No test |
| Answer» D. No test | |
| 45. |
What takes input as an object described by a set of attributes? |
| A. | Tree |
| B. | Graph |
| C. | Decision graph |
| D. | Decision tree |
| Answer» E. | |
| 46. |
In LISP, the function evaluates and assigns this value to the unevaluated . |
| A. | (constant ) |
| B. | (defconstant ) |
| C. | (eva ) |
| D. | (eva ) |
| Answer» C. (eva ) | |
| 47. |
The “Turing Machine” showed that you could use a/an _____ system to program any algorithmic task. |
| A. | binary |
| B. | electro-chemical |
| C. | recursive |
| D. | semantic |
| Answer» B. electro-chemical | |
| 48. |
In LISP, the function returns t if is even and nil otherwise: |
| A. | (evenp ) |
| B. | (even ) |
| C. | (numeven ) |
| D. | (numnevenp ) |
| Answer» B. (even ) | |
| 49. |
Which suggests the existence of efficient recursive algorithm for online smoothing? |
| A. | Matrix |
| B. | Constant space |
| C. | Constant time |
| D. | None of the mentioned |
| Answer» C. Constant time | |
| 50. |
Which reveals an improvement in online smoothing? |
| A. | Matrix formulation |
| B. | Revelation |
| C. | HMM |
| D. | None of the mentioned |
| Answer» B. Revelation | |