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ETI (22618) MCQs | Chapter 1: Artificial Intelligence MCQs | MSBTE I Scheme

All MCQs in the chapter 1 (Artificial Intelligence) are given:
The MCQs are related with the following contents:

  • Concept of AI 
  • Scope of AI 
  • Components of AI 
  • Types of AI 
  • Application of AI  
  • Concept of machine learning and deep learning.

1. ______ is the father of Artificial Intelligence.
A] John McCallum
B] Alan Turing
C] John McCarthy
D] Stephenson
Answer: C] John McCarthy

2. The science and engineering of making intelligent machines, especially intelligent computer programs is called as ______
A] Machine Learning
B] Artificial Intelligence (AI)
C] Neural Networks
D] Deep Learning
Answer: B] Artificial Intelligence (AI)

3. ______ is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion.
A] Neural Networks
B] Embedded System
C] Deep Learning
D] Artificial Intelligence (AI)
Answer: D] Artificial Intelligence (AI)

4. Who described AI as, “The science and engineering of making intelligent machines, especially intelligent computer programs” ?
A] John McCallum
B] Alan Turing
C] G. Palmar
D] John McCarthy
Answer: D] John McCarthy

5. ______ is the study of how to make computers do things which at the moment, people do better.
A] Supervised Learning
B] Deep Learning
C] Artificial Intelligence (AI)
D] Unsupervised Learning
Answer: C] Artificial Intelligence (AI)

6. ______ is defined as symbols that represent properties of objects events and their environment.
A] Knowledge
B] Data
C] Intelligence
D] Information
Answer: B] Data

7. ______ is a message that contains relevant meaning, implication, or input for decision and/or action.
A] Knowledge
B] Data
C] Intelligence
D] Information
Answer: D] Information

8. Intelligence requires ability to sense the environment, _______ , and to control action
A] to make decisions
B] to change decision
C] to get information
D] None of the above
Answer: A] to make decisions

9. What is knowledge ?
A] It is the cognition or recognition (know-what)
B] capacity to act(know-how)
C] understanding (know-why)
D] All of the above
Answer: D] All of these

10. Which of the following is the correct sequence ?
A] Data ›› Information ›› Knowledge ›› Intelligence
B] Intelligence ›› Data ›› Knowledge ›› Information
C] Knowledge ›› Information ›› Data ›› Intelligence
D] Information ›› Intelligence ›› Knowledge ›› Data
Answer: A] Data ›› Information ›› Knowledge ›› Intelligence

11. ______ requires ability to sense the environment, to make decisions, and to control action.
A] Data
B] Intelligence
C] Knowledge
D] Information
Answer: B] Intelligence

12. The art and science of ______, ______ and ______ to the machine is the art of Artificial Intelligence.
A] bringing learning
B] adaptation
C] self organization
D] All of these
Answer: D] All of the above

13. AI is built on _______ important concepts.
A] 2
B] 5
C] 3
D] 4
Answer: C] 3

14. In ________ the goal is for the software to use what it has learned in one area to solve problems in other areas.
A] Deep learning
B] Neural networks
C] Machine learning
D] None of these
Answer: A] Deep learning

15. Which of the following consist of computer programs that mimic the way the human brain processes information ?
A] Deep learning
B] Machine learning
C] Neural networks
D] None of these
Answer: C] Neural networks

16. _______ specialize in clustering information and recognizing complex patterns, giving computers the ability to use more sophisticated processes to analyze data.
A] Neural networks
B] Machine learning
C] Deep learning
D] All of these
Answer: A] Neural networks

17. How many approaches are there in AI ?
A] 2
B] 6
C] 3
D] 4
Answer: D] 4

18. The core components and constituents of AI are derived from the ______
A] Concept of logic
B] Cognition
C] Computation
D] All of these
Answer: D] All of these

19. The compound components are derived from _______
A] Knowledgec
B] Reasoning
C] Control
D] All of these
Answer: D] All of these

20. NLP stands for _______
A] Network Location Protocol
B] Neuro-linguistic programming
C] Natural Language Processing
D] None of these
Answer: C] Natural Language Processing

21. Logic, cognition and computation consists in the ______
A] X-direction
B] Y-direction
C] Z-direction
D] None of these
Answer: A] X-direction

22. Knowledge, reasoning and interface consists in the ______
A] X-direction
B] Y-direction
C] Z-direction
D] None of these
Answer: B] Y-direction

23. Language, vision and perception consists in the ______
A] X-direction
B] Y-direction
C] Z-direction
D] None of these
Answer: C] Z-direction

24. The third dimension is basically the _______
A] Application Domain
B] Interface Domain
C] Reserved Domain
D] All of these
Answer: A] Application Domain

25. _______ was the first AI programming language.
A] PROL
B] Basic
C] LISP
D] PYTHON
Answer: C] LISP

26. Narrow AI is also called as ________
A] General AI
B] Weak AI
C] Super AI
D] None of these
Answer: B] Weak AI

27. Which AI is able to perform a dedicated task with intelligence.
A] Super AI
B] General AI
C] Narrow AI
D] None of these
Answer: B] Narrow AI

28. ________ is a type of intelligence which could perform any intellectual task with efficiency like a human.
A] Narrow AI
B] General AI
C] Super AI
D] None of these
Answer: B] General AI

29. Apple Siri is a good example of ________
A] Narrow AI
B] General AI
C] Super AI
D] None of these
Answer: A] Narrow AI

30. The worldwide researchers are now focused on developing machines with ________
A] Narrow AI
B] Super AI
C] General AI
D] None of these
Answer: C] General AI

31. Playing chess, purchasing suggestions on e-commerce site, self-driving cars, speech recognition, and image recognition are the examples of which AI ?
A] Super AI
B] General AI
C] Narrow AI
D] None of these
Answer: C] Narrow AI

31. Ability to think, to reason, solve the puzzle, make judgments, plan, learn, and communicate by its own are the examples of which AI ?
A] Narrow AI
B] Super AI
C] General AI
D] None of these
Answer: B] Super AI

32. Which machines do not store memories or past experiences for future actions ?
A] Self-Awareness
B] Limited Memory
C] Theory of Mind
D] Reactive Machines
Answer: D] Reactive Machines

33. Which machines can store past experiences or some data for a short period of times ?
A] Self-Awareness
B] Limited Memory
C] Theory of Mind
D] Reactive Machines
Answer: B] Limited Memory

34. __________ AI should understand the human emotions, people, beliefs, and be able to interact socially like humans.
A] Self-Awareness
B] Limited Memory
C] Reactive Machines
D] Theory of Mind
Answer: D] Theory of Mind

35. IBM's Deep Blue system and Google's AlphaGo is an example of ________
A] Reactive Machines
B] Theory of Mind
C] Self-Awareness
D] Limited Memory
Answer: A] Reactive Machines

36. Which machines have their own consciousness, sentiments, and self-awareness ?
A] Self-Awareness
B] Limited Memory
C] Theory of Mind
D] Reactive Machines
Answer: A] Self-Awareness

37. Self-driving cars are one of the best examples of ________
A] Reactive Machines
B] Theory of Mind
C] Self-Awareness
D] Limited Memory
Answer: D] Limited Memory

38. Which of the following is/are the applications of AI ?
A] Expert Systems
B] Handwriting Recognitiond
C] Intelligent Robots
D] All of these
Answer: D] All of these

39. ________ machines can use stored data for a limited time period only.
A] Self-Awareness
B] Limited Memory
C] Reactive Machines
D] Theory of Mind
Answer: B] Limited Memory

40. ________ 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] Natural Language Processing
C] Deep learning
D] unsupervised learning
Answer: A] Machine learning

41. ________ deals with learning a function from available training data.
A] Machine learning
B] Deep learning
C] Supervised learning
D] Unsupervised learning
Answer: C] Supervised learning

42. k-means, self-organizing maps, and hierarchical clustering are the examples of _______
A] Deep learning
B] Supervised learning
C] Unsupervised learning
D] Machine learning
Answer: C] Unsupervised learning

43. Classifying e-mails as spam, labeling webpages based on their content, and voice recognition are the examples of _______
A] Deep learning
B] Supervised learning
C] Unsupervised learning
D] Machine learning
Answer: B] Supervised learning

44. Chomsky's linguistic computational theory generated a model for syntactic analysis through _______
A] Regular grammar
B] Regular word
C] Regular expression
D] None of these
Answer: A] Regular grammar

45. Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structure and function of the brain called as _______
A] Super AI
B] Reactive Machines
C] Artificial neural networks
D] Theory of Mind
Answer: C] Artificial neural networks



ETI (22618) MCQs | Chapter 1: Artificial Intelligence MCQs  | MSBTE I Scheme


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