(ETI MCQ) Emerging Trends in Computer Eng and Information Technology MCQ Chapter 1:Artificial Intelligence

Emerging Trends in Computer Engineering and Information Technology MCQ


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Chapter 1- Artificial Intelligence | ETI MCQ I Scheme


1. Which of these schools was not among the early leaders in AI research?
A. Dartmouth University
B. Harvard University
C. Massachusetts Institute of Technology
D. Stanford University
E. None of the above
Ans: B

2. DARPA, the agency that has funded a great deal of American AI research, is part of the
Department of:
A. Defense
B. Energy
C. Education
D. Justice
E. None of the above
Ans: A

3. The conference that launched the AI revolution in 1956 was held at:
A. Dartmouth
B. Harvard
C. New York
D. Stanford
E. None of the above
Ans: A

4. What is the term used for describing the judgmental or commonsense part of the problem
solving?
A. Heuristic
B. Critical
C. Value-based
D. Analytical
E. None of the above
Ans: A

5. What of the following is considered to be a pivotal event in the history of AI.
A. 1949, Donald O, The organization of Behavior.
B. 1950, Computing Machinery and Intelligence.
C. 1956, Dartmouth University Conference Organized by John McCarthy.
D. 1961, Computer and Computer Sense.
E. None of the above
Ans: C

6. A certain Professor at the Stanford University coined the word 'artificial intelligence' in
1956 at a conference held at Dartmouth College. Can you name the Professor?
A. David Levy
B. John McCarthy
C. Joseph Weizenbaum
D. Hans Berliner
E. None of the above
Ans: B

7. The field that investigates the mechanics of human intelligence is:
A. History
B. cognitive science
C. psychology
D. sociology
E. None of the above
Ans: B

8. A.M. Turing developed a technique for determining whether a computer could or could not
demonstrate the artificial Intelligence,, Presently, this technique is called
A. Turing Test
B. Algorithm
C. Boolean Algebra
D. Logarithm
E. None of the above
Ans: A

9. The first AI programming language was called:
A. BASIC
B. FORTRAN
C. IPL
D. LISP
E. None of the above
Ans: D

10. What is Artificial intelligence?
A. Putting your intelligence into Computer
B. Programming with your own intelligence
C. Making a Machine intelligent
D. Putting more memory into Computer
Ans: C


11. Who is a father of AI?
A. Alain Colmerauer
B. John McCarthy
C. Nicklaus Wirth
D. Seymour Papert
Ans: B

12. Artificial Intelligence has its expansion in the following application.
A. Planning and Scheduling
B. Game Playing
C. Robotics
D. All of the above
Ans: D

13. The characteristics of the computer system capable of thinking, reasoning and learning is
known is
A. machine intelligence
B. human intelligence
C. artificial intelligence
D. virtual intelligence
Ans: C

14. The first AI programming language was called:
A. BASIC
B. FORTRAN
C. IPL
D. LISP
Ans: D

15. The first widely used commercial form of Artificial Intelligence (Al) is being used in many
popular products like microwave ovens, automobiles and plug in circuit boards for desktop PCs.
What is name of AI?
A. Boolean logic
B. Human logic
C. Fuzzy logic
D. Functional logic
Ans: C

16. What is the term used for describing the judgmental or commonsense part of the problem
solving?
A. Heuristic
B. Critical
C. Value-based
D. Analytical
Ans: A

17. ______ is a branch of computer science which deals with helping machines finds solutions to
complex problems in a more human-like fashions
A. Artificial Intelligence
B. Internet of Things
C. Embedded System
D. Cyber Security
Ans: A

18. In ____ the goal is for the software to use what it has learned in one area to solve problems in other areas.
A. Machine Learning
B. Deep Learning
C. Neural Networks
D. None of these
Ans: B

19. Computer programs that mimic the way the human brain processes information is called as
A. Machine Learning
B. Deep Learning
C. Neural Networks
D. None of these
Ans: C

20. A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which
drastically limits the search for solutions in large problem spaces.
A. Heuristic
B. Critical
C. Value based
D. Analytical
Ans: A

21. ______ do not guarantee optimal/any solutions
A. Heuristic
B. Critical
C. Value based
D. Analytical
Ans: A

22. Cognitive science related with _____
A. Act like human
B. ELIZA
C. Think like human
D. None of the above
Ans: C

23. _____ Model should reflect how results were obtained.
A. Design model
B. Logic model
C. Computational model
D. None of the above
Ans: C

24. Communication between man and machine is related with ______
A. LISP
B. ELIZA
C. All of the above
D. None of the above
Ans: B

25. ELIZA created by _____
A. John McCarthy
B. Steve Russell
C. Alain Colmerauer
D. Joseph Weizenbaum
Ans: D

26. The concept derived from ________ level is propositional logic, tautology, predicate
calculus, model, temporal logic.
A. Cognition level
B. Logic level
C. Functional level
D. All of the above
Ans: B

27. PROLOG is an AI programming language which solves problems with a form of symbolic
logic known as ______.
A. Propositional logic
B. Tautology
C. Predicate calculus
D. Temporal logic
Ans: C

28. The ____ level contains constituents at the third level which are knowledge-based system,
heuristic search, automatic theorem proving, multi-agent system.
A. Cognition level
B. Gross level
C. Functional level
D. All of the above
Ans: B

29. PROLOG, LISP, NLP are the language of ____
A. Artificial Intelligence
B. Machine Learning
C. Internet of Things
D. Deep Learning
Ans: A

30. ______ is used for AI because it supports the implementation of software that computes with symbols very well.
A. LISP
B. ELIZA
C. PROLOG
D. NLP
Ans: A


31. Symbols, symbolic expressions, and computing with those is at the core of ______
A. LISP
B. ELIZA
C. PROLOG
D. NLP
Ans: A

32. ______ that deals with the interaction between computers and humans using the natural
language
A. LISP
B. ELIZA
C. PROLOG
D. NLP
Ans: D

33. The core components are constituents of AI are derived from
A. Concept of logic
B. Cognition
C. Computation
D. All of the above
Ans: D

34. Aristotle’s theory of syllogism and Descartes and Kant's critic of pure reasoning made
knowledge on _____.
A. Logic
B. Computation logic
C. Cognition logic
D. All of the above
Ans: A

35. Charles Babbage and Boole who demonstrate the power of _______
A. Logic
B. Computation logic
C. Cognition logic
D. All of the above
Ans: B

36. In 1960s, _____ pushed the logical formalism to integrate reasoning with knowledge.
A. Marvin Minsky
B. Alain Colmerauer
C. John McCarthy
D. None of above
Ans: A

37. Sensing organs as input, mechanical movement organs as output and central nervous system (CNS) in the brain as control and computing devices is known as _____ of human being
A. Information Control Paradigm
B. Information Processing Paradigm
C. Information Processing Control
D. None of the above
Ans: B

38. _____ model was developed and incorporated in machines which mimicked the
functionalities of human origin.
A. Functional model
B. Neural model
C. Computational model
D. None of the above
Ans: C

39. Chomsky’s linguistic computational theory generated a model for syntactic analysis through
__________
A. Regular Grammar
B. Regular Expression
C. Regular Word
D. None of these
Ans: A

40. Human to Machine is _____ and Machine to Machine is ______.
A. Process, Process
B. Process, Program
C. Program, Hardware
D. Program, Program
Ans: C

41. Weak AI is also known as ____
A. Narrow AI
B. General AI
C. Neural AI
D. None of the above
Ans: A

42. _____ AI is able to perform a dedicated task.
A. Narrow AI
B. General AI
C. Neural AI
D. None of the above
Ans: A

43. Narrow AI is performed multiple tasks at a time.
A. True
B. False
Ans: B

44. Weak AI 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
E. None of the above
Ans: C

45. Strong AI 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
E. None of the above
Ans: A


46. 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
E. None of the above
Ans: D

47. Apple Siri is a good example of ______ AI.
A. Narrow AI
B. General AI
C. Neural AI
D. None of the above
Ans: A

48. IBM Watson supercomputer comes under ____ AI.
A. Narrow AI
B. General AI
C. Neural AI
D. None of above
Ans: A

49. ____ AI is a type of intelligence which could perform any intellectual task with efficiency
like human.
A. Narrow AI
B. General AI
C. Super AI
D. None of the above
Ans: B

50. The idea behind _________AI to make such a system which could be smarter and think like
a human by its own.
A. Narrow AI
B. General AI
C. Super AI
D. None of the above
Ans: B

51. The worldwide researchers are now focusing on developing machines with ___ AI.
A. Narrow AI
B. General AI
C. Super AI
D. None of the above
Ans: B

52. Playing chess, purchasing suggestions on e-commerce site, self-driving cars, speech
recognition and image recognition are the example of ____.
A. Narrow AI
B. General AI
C. Super AI
D. None of above
Ans: A

53. A machine can perform any task better than a human with cognitive properties is known as ___
AI.
A. Narrow AI
B. General AI
C. Super AI
D. None of the above
Ans: C

54. Ability to think, puzzle, make judgments, plan, learn, communication by its own is known as___ AI.
A. Narrow AI
B. General AI
C. Super AI
D. None of the above
Ans: C

55. ____ AI is a hypothetical concept of AI.
A. Narrow AI
B. General AI
C. Super AI
D. None of the above
Ans: C

56. Which AI system not store memories or past experiences for future actions.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of the above
Ans: A

57. Which machines only focus on current scenarios and react on it as per as possible best
action.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of the above
Ans: A

58. IBM’s deep blue system is an example of ___.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of the above
Ans: A

59. Google Alpha Go is an example of ____.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of the above
Ans: A


60. Which can stores past experiences or some data for short period time.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of above
Ans: B

61. The self-driving car is an example of ____.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of the above
Ans: B [Car stores recent speed of nearby cars, the distance of others car, speed limit, other
information to navigate the road]

62. Which AI should understand human emotions, people, and beliefs and be able to interact socially like humans.
A. Reactive machine
B. Limited memory
C. Theory of mind
D. None of the above
Ans: C

63. Which machines will be smarter than human mind?
A. Reactive machine
B. Limited memory
C. Theory of mind
D. Self-Awareness
Ans: D

64. _________machines will have their own consciousness and sentiments
A. Reactive machine
B. Theory of mind
C. Self-Awareness
D. Both B & C
Ans: C

65. Which is not the commonly used programming language for AI?
A. PROLOG
B. LISP
C. Perl
D. Java script
Ans: C

66. What is Machine learning?
A. The autonomous acquisition of knowledge through the use of computer programs
B. The autonomous acquisition of knowledge through the use of manual programs
C. The selective acquisition of knowledge through the use of computer programs
D. The selective acquisition of knowledge through the use of manual programs
Ans: A

67______________is a branch of science that deals with programming the systems in such a way that they automatically learn and improve with experience
A. Machine Learning
B. Deep Learning
C. Neural Networks
D. None of these
Ans: A

68. Classifying email as spam, labeling webpages based on their content, voice recognition are
the example of _____.
A. Supervised learning
B. Unsupervised learning
C. Machine learning
D. Deep learning
Ans: A

69. K-means, self-organizing maps, hierarchical clustering are the example of _____.
A. Supervised learning
B. Unsupervised learning
C. Machine learning
D. Deep learning
Ans: B

70. Deep learning is a subfield of machine learning where concerned algorithms are inspired by
the structured and function of the brain called _____.
A. Machine learning
B. Artificial neural networks
C. Deep learning
D. Robotics
Ans: B


71. Machine learning invent by _____.
A. John McCarthy
B. Nicklaus Wirth
C. Joseph Weizenbaum
D. Arthur Samuel
Ans: D
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