Artificial Intelligence Solved Basic MCQ Online Quiz Questions | Computer Quiz

Artificial Intelligence MCQ Quiz Questions| 30 Important Artificial Intelligence mcq coding questions

AI Objective Type Question: We have uploaded 30 important questions about Artificial Intelligence Solved MCQ with Answer are given below. ( AI ) Artificial Intelligence is the ability of a computer. Artificial Intelligence is a branch of Computer science subject and scientific goal of artificial intelligence is to explain various sorts of intelligence. Artificial intelligence forms the basis for all computer learning and complex decision making for all future. That’s why we have uploaded Artificial Intelligence Solved MCQ with Answers. Some technical knowledges are need for every today jobs and future jobs. you should thoroughly study for Artificial Intelligence MCQs. The computer is essential skill for almost all  banks. More general knowledge questions are regularly update our site. To know the computer GK questions and answer quiz visit our dailyrecruitment site.

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Artificial Intelligence online test Questions and Answer -Highlights

Name of the Article Computer Science-Artificial Intelligence
Category MCQ
Number of Questions 30

We are providing MCQ PDF on Artificial Intelligence/Artificial Intelligence basic mcq questions pdf/Artificial Intelligence mcq coding questions are given below. People may use chance to develop your knowledge as well as good score in competitive exams. Regularly practice these kind of mcq quiz it will definitely improve your knowledge, skills, reading ability etc. Read the below given questions are carefully then select the best answer. Test your knowledge now by using this online computer- Artificial Intelligence MCQ quiz.

Read the Given Below Artificial Intelligence MCQ with Answer:

1. The probabilistic reasoning depends upon____________

  1. Observations
  2. Estimation
  3. Likelihood
  4. All of these

Answer: Estimation

2. How many types of Machine Learning are there?

  1. 1
  2. 2
  3. 3
  4. 4

Answer: 3

3. An Algorithm is said as Complete algorithm if_______________

  1. It contains a loop
  2. It ends with a solution
  3. It begins with a solution
  4. It does not end with a solution

Answer: It ends with a solution 

4. To invoke the LISP System, you must enter______

  1. AI
  2. LISP
  3. both b and c
  4. None of the above

Answer:  None of the above

5. The Bayesian Network gives________

  1. A complete description of the domain
  2. Partial Description of the domain
  3. A complete description of the domain
  4. None of these

Answer: A complete description of the domain

6. In LISP, the function returns the first element of a list is____

  1. Car
  2. Set
  3. Second
  4. First

Answer: Car

7. Automatic Reasoning tool is used in_____.

  1. Personal Computers
  2. Microcomputers
  3. LISP machines
  4. None of these

Answer: LISP machines

8. For speech understanding systems to gain widespread acceptance in office automation, they must feature:

  1. speaker independence
  2. isolated word recognition
  3. speaker dependence
  4. All of the above

Answer: speaker independence

9. LISP was created was by _____

  1. Alan Turing
  2. Allen Newell and Herbert Simon
  3. John McCarthy
  4. Marvin Minsky

Answer: John McCarthy

10. Natural language processing is divided into two sub field of ________

  1. algorithmic and heuristic
  2. time and motion
  3. symbolic and numeric
  4. understanding and generation

Answer: understanding and generation

11. The process of capturing the inference process as Single Inference Rule is known as______

  1. Generalized Modus Ponens
  2. Ponens
  3. Variables
  4. Clause

Answer: Generalized Modus Ponens

12.  Which algorithm takes two sentences as input and returns a Unifier?

  1. Inference
  2. Unify algorithm
  3. Hill-Climbing
  4. Depth-first search

Answer: Unify algorithm

13. First order logic Statements contains______

  1. Predicate and Subject
  2. Predicate and Preposition
  3. Predicate and Subject
  4. Subject and an Object

Answer: Predicate and Subject

14. Which agent deals with the happy and unhappy state?

  1. Goal-based Agent
  2. Model-based agent
  3. Utility-based agent
  4. Learning Agent

Answer: Utility-based agent

15. A knowledge-based agent can be defined with _____ levels.

  1. 2 level
  2. 3 level
  3. 4 level
  4. 5 level

Answer: 3 level

16. Which of these school was not among the early leaders in AI research?

  1. Massachusetts Institute of Technology
  2. Stanford University
  3. Harvard University
  4. Dartmouth University

Answer: Harvard University

17. LISP machines are also known as______

  1. AI workstations
  2. time-sharing terminals
  3. super mini computers
  4. None of the above

Answer: AI workstations

18. A Computer vision techniques that relies on image templates is ________

  1. binocular vision
  2. model-based vision
  3. edge detection
  4. robot vision

Answer: model-based vision

19. The available ways to solve a problem of state-space-search ________

  1. 1
  2. 2
  3. 3
  4. 4

Answer: 2

20. Which rule is applied for the Simple reflex agent?

  1. Simple-action rule
  2. Condition-action rule
  3. Simple &Condition-action rule
  4. None of the above

Answer: Condition-action rule

Explanation: Simple reflex agent is based on the present condition and so it is condition action rule.

21. Which of the given language is not commonly used for AI?

  2. LISP
  3. Python
  4. Perl

Answer:  Perl

22. Web Crawler is an example of______

  1. Model-based agent
  2. Simple reflex agent
  3. Intelligent Agent
  4. Problem-solving agent

Answer: Intelligent Agent

23. High resolution bit- mapped displayed are useful for displaying______

  1. graphics
  2. more characters
  3. clearer characters
  4. All of the above

Answer: more characters

24. A process is that is repeated, evaluated, and refined is called_____

  1. descriptive
  2. interpretive
  3. iterative
  4. diagnostic

Answer: iterative

25. Among the given options, which is also known as inference rule?

  1. Resolution
  2. Reform
  3. Reference
  4. None of these

Answer: Resolution

26. A hybrid Bayesian Network consist_____.

  1. both discrete and continuous variable
  2. Discrete variables only
  3. Continuous Variable only
  4. Discontinuous Variable

Answer: both discrete and continuous variable

27. The strategic computing program is a project of the ________

  1. National Science Foundation
  2. Jet Propulsion Laboratory
  3. Defense Advanced Research Projects Agency
  4. All of the above

Answer: Defense Advanced Research Projects Agency

28. Which of the given element improve the performance of AI agent so that it can make better decisions?

  1. Changing Element
  2. Learning Element
  3. Performance Element
  4. None of the above

Answer: Learning Element

29. The decision tree algorithm reaches its destination using_____________

  1. No test
  2. Single Test
  3. Sequence of test
  4. Two Test

Answer: Sequence of test

30. In LISP programming, the square root is entered as_____

  1. (sqrt x)
  2. Sqrt(x)
  3. x/2
  4. None of these

Answer: Sqrt(x)

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