Artificial Intelligence MCQ Question Bank with Answers [SET - 4] | Artificial Intelligence MCQ PDF download

 

1.  Which values are independant in minimax search algorithm?

A)  Pruned leaves x and y
B) Every states are dependant
C) Root is independant
D)  None of the mentioned

ANSWER= (A)  Pruned leaves x and y

 

2. To which depth does the alpha-beta pruning can be applied?

A) 10 states
B) 8 States
C) 6 States
D) Any depth

ANSWER= (D) Any depth

 

3. Learning works on existing facts and knowledge and deduces new knowledge from the old.

A)  Inductive
B) Application
C) Deductive
D) All

ANSWER= (C) Deductive

 

4.KEE is a product of:

A) IntelliCorpn
B) Teknowledge
C) Texas Instruments
D) Tech knowledge

ANSWER= (A) IntelliCorpn

 

5.  What is state space in AI?

A) The whole problem
B)  Problem you design
C) The whole problem
D) Representing your problem with variable and parameter

ANSWER= (D) Representing your problem with variable and parameter

 

6. Wumpus World is a classic problem, best example of

A)  Single player Game
B) Two player Game
C) Reasoning with Knowledge
D) Knowledge based Game

ANSWER= (C) Reasoning with Knowledge

 

7.  ‘a I= 13 Ito mean that the sentence a entails the sentence 13) if and only if, in every model in which a is 13 is also

A) True, true
B) True, false
C) False, true
D) False, false

ANSWER= (A) True, true

 

8. Which is not a property of representation of knowledge?

A) Representational Verification
B) Representational Adequacy
C) Inferential Adequacy
D) Inferential Efficiency

ANSWER= (A)  Representational Verification

 

9.  Face recognition system is based on which AI?

A) Serial AI
B)  Parallel AI
C) Applied AI
D) Strong AI

ANSWER= (C) Applied AI

 

10.Default reasoning is another type of -

A) Analogical reasoning
B)  Bitonic reasoning
C) Non-monotonic reasoning
D)  Monotonic reasoning

ANSWER= (C) Non-monotonic reasoning

 

11. What is the name of the computer program that contains the distilled knowledge of an expert?

A) Management information System
B) Expert system
C)  Data base management system
D) Artificial intelligence

ANSWER= (B) Expert system contains the distilled knowledge of an expert.

 

12. Which is not a property of representation of knowledge?

A)  Inferential Adequacy
B) Representational Adequacy
C) Representational Verification
D)  Inferential Efficiency

ANSWER= (C) Representational Verification is not a property of representation of knowledge.

 

13. In LISP, the function evaluates both <variable> and <object> is -

A) setq
B)  add
C) SET
D) EVA

ANSWER= (C) SET

 

14. Weak AI is

A) a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans.
B) the study of mental faculties through the use of mental models implemented on a computer.
C)  the embodiment of human intellectual capabilities within a computer.
D) All of the above

ANSWER= (B) Weak AI is the study of mental faculties through the use of mental models implemented on a computer.

 

15. Which search is equal to minimax search but eliminates the branches that can’t influence the final decision?

A) Depth-first search
B)  Breadth-first search
C) Alpha-beta pruning
D) None of the mentioned

ANSWER= (C) Alpha-beta pruning

 

16. 1GHz = ___

A) 109 Hz
B) 1010 Hz
C) 107 Hz
D) 108 Hz

ANSWER= (A)  109 Hz

 

17. DBS stands for ___

A) Disturb Broadcast Satellite
B) Direct Broadcast Satellite
C) Digital Broadcast Satellite
D) Digital Broadcast System

ANSWER= (B) Direct Broadcast Satellite

 

18.  One definition of ai focuses on problem-solving methods that process:

A) Smell
B) Symbols
C) Touch
D) Algorithms

ANSWER= (B) Symbols

 

19. DM stands for ___

A)  Delta Modulation
B) Direction Medium
C) Digital Method
D) Digital Medium

ANSWER= (A) Delta Modulation

 

20. What is a heuristic function?

A)  A function to solve mathematical problems
B) A function which takes parameters of type string and returns an integer value
C) A function whose return type is nothing
D) A function that maps from problem state descriptions to measures of desirability

ANSWER= (D) A function that maps from problem state descriptions to measures of desirability

 

21.  What is the range for Radio

A) 4KHz to 300 GHz
B) 3KHz to 300 GHz
C) 5KHz to 400 GHz
D)  6KHz to 500 GHz

ANSWER= (B) 3KHz to 300 GHz

 

22. 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= (D) Because it is the simplest linearly inseparable problem that exists.

 

23. Artificial intelligence is

A) The embodiment of human intellectual capabilities within a computer
B) A set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans
C)  The study of mental faculties through the use of mental models implemented on a computer
D)  All of the above

ANSWER= (D) All of the above

 

24. 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= (C) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn

 

25. FDM stands for ___

A) Frequent Data Module
B)  Fast Distribute Method
C)  Frequency Division Multiplexing
D)  Fast Division Multiplexing

ANSWER= (C) Frequency Division Multiplexing

 

26. Which of the following is not a stage of AI?

A) Predictive analytics
B) Diagnostic analytics
C) Cognitive analytics
D) All of the above

ANSWER= (C) Cognitive analytics

 

27. An algorithm is complete if

A)  It terminates with a solution when one exists
B) It starts with a solution
C) It does not terminate with a solution
D) It has a loop

ANSWER= (A)  It terminates with a solution when one exists

 

28. 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= (A) Locally structured

 

29. 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= (B)  Because they are the only class of problem that Perceptron can solve successfully

 

30. 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= (A) It can explain result

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