Artificial Intelligence MCQ (Multiple Choice Questions)

Here are 1000 MCQs on AI (Chapterwise).

1. What is the full form of “AI”?
a) Artificially Intelligent
b) Artificial Intelligence
c) Artificially Intelligence
d) Advanced Intelligence
View Answer

Answer: b
Explanation: AI is abbreviated as Artificial Intelligence. It is used to create systems or build machines to think and work like humans.

2. What is Artificial Intelligence?
a) Artificial Intelligence is a field that aims to make humans more intelligent
b) Artificial Intelligence is a field that aims to improve the security
c) Artificial Intelligence is a field that aims to develop intelligent machines
d) Artificial Intelligence is a field that aims to mine the data
View Answer

Answer: c
Explanation: Artificial Intelligence is the development of intelligent systems that work and react in the same way that humans do. Intelligence is a process or a component of the ability to achieve goals in the world. People, animals, and a few machines all have different types and degrees of intelligence.

3. Who is the inventor of Artificial Intelligence?
a) Geoffrey Hinton
b) Andrew Ng
c) John McCarthy
d) Jürgen Schmidhuber
View Answer

Answer: c
Explanation: John McCarthy was a pioneer in Artificial Intelligence research, helping to name the field and spending decades teaching computers to grasp concepts that are intuitive to humans.

4. Which of the following is the branch of Artificial Intelligence?
a) Machine Learning
b) Cyber forensics
c) Full-Stack Developer
d) Network Design
View Answer

Answer: a
Explanation: Machine learning is one of the important sub-areas of Artificial Intelligence likewise Neural Networks, Computer Vision, Robotics, and NLP are also the sub-areas. In machine learning, we build or train ML models to do certain tasks.

5. What is the goal of Artificial Intelligence?
a) To solve artificial problems
b) To extract scientific causes
c) To explain various sorts of intelligence
d) To solve real-world problems
View Answer

Answer: c
Explanation: Artificial Intelligence’s goal is to explain various sorts of intelligence.
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6. Which of the following is an application of Artificial Intelligence?
a) It helps to exploit vulnerabilities to secure the firm
b) Language understanding and problem-solving (Text analytics and NLP)
c) Easy to create a website
d) It helps to deploy applications on the cloud
View Answer

Answer: b
Explanation: Language understanding and problem-solving come under the NLP and Text Analysis area which involves text recognition and sentiment analysis of the text. NLP ML model is trained to mainly do the task which processes human language’s speech or text. For example voice assistant.

7. In how many categories process of Artificial Intelligence is categorized?
a) categorized into 5 categories
b) processes are categorized based on the input provided
c) categorized into 3 categories
d) process is not categorized
View Answer

Answer: c
Explanation: It is categorized into 3 steps Sensing, Reasoning, Acting
i) Sensing: Through the sensor taking in the data about the world
ii) Reasoning: Reasoning is thinking or processing the data sensed by the sensor.
iii) Action: On the basis of input and reasoning, acting is generating and controlling actions in the environment.

8. Based on which of the following parameter Artificial Intelligence is categorized?
a) Based on functionally only
b) Based on capabilities only
c) Based on capabilities and functionally
d) It is not categorized
View Answer

Answer: c
Explanation: The two main categorizations of AI are based on the capability and functionality. Based on capability it is divided into Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI). Based on functionality it is divided into reactive machines, limited memory, theory of mind, and self-awareness.

9. Which of the following is a component of Artificial Intelligence?
a) Learning
b) Training
c) Designing
d) Puzzling
View Answer

Answer: a
Explanation: Intelligence is intangible and is composed of mainly five techniques. Learning is the process of gaining knowledge by understanding, practicing, being taught, or experiencing one thing. Learning enhances the awareness of any topic, hence learning is one of the important components.

10. What is the function of an Artificial Intelligence “Agent”?
a) Mapping of goal sequence to an action
b) Work without the direct interference of the people
c) Mapping of precept sequence to an action
d) Mapping of environment sequence to an action
View Answer

Answer: c
Explanation: A math function that converts a collection of perceptions into actions is known as the agent function. The function is implemented using agent software. An agent is responsible for the actions performed by the machine once it senses the environment.

11. Which of the following is not a type of Artificial Intelligence agent?
a) Learning AI agent
b) Goal-based AI agent
c) Simple reflex AI agent
d) Unity-based AI agent
View Answer

Answer: d
Explanation: There are mainly 5 types of agents:
AI MCQ

12. Which of the following is not the commonly used programming language for Artificial Intelligence?
a) Perl
b) Java
c) PROLOG
d) LISP
View Answer

Answer: a
Explanation: Perl is a scripting language. Whereas other programming languages are used to program AI machines.

13. What is the name of the Artificial Intelligence system developed by Daniel Bobrow?
a) program known as BACON
b) system known as STUDENT
c) program known as SHRDLU
d) system known as SIMD
View Answer

Answer: b
Explanation: STUDENT is the name of the Artificial Intelligence system developed by Daniel Bobrow in 1964. Daniel Bobrow had used LISP programming language to write this AI program for his PhD thesis.

14. What is the function of the system Student?
a) program that can read algebra word problems only
b) system which can solve algebra word problems but not read
c) system which can read and solve algebra word problems
d) None of the mentioned
View Answer

Answer: c
Explanation: The system STUDENT developed by Daniel Bobrow was written in LISP to read and solve algebra word problems of high school books. This is referred as the achievement in the field of Natural Language Processing.
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15. Which of the following is not an application of artificial intelligence?
a) Face recognition system
b) Chatbots
c) LIDAR
d) DBMS
View Answer

Answer: d
Explanation: Face recognition system, Chatbots, and LIDAR are the various applications of AI in various fields like security system, business, automobiles etc. DBMS is used to store and manipulate data.

16. Which of the following machine requires input from the humans but can interpret the outputs themselves?
a) Actuators
b) Sensor
c) Agents
d) AI system
View Answer

Answer: d
Explanation: Actuators are used in machines to convert energy from one form to another to perform a physical function. The sensor is a device that receives signals from the physical environment to detect the changes. Systems receive input from humans and interpret the outputs.

17. _________ number of informed search method are there in Artificial Intelligence.
a) 4
b) 3
c) 2
d) 1
View Answer

Answer: a
Explanation: There are four types of informed search methods. The four types of informed search method are best-first search, Greedy best-first search, A* search and memory bounded heuristic search.

18. The total number of proposition symbols in AI are ________
a) 3 proposition symbols
b) 1 proposition symbols
c) 2 proposition symbols
d) No proposition symbols
View Answer

Answer: c
Explanation: There are totally 2 proposition symbols. The two proposition symbols are true and false.

19. The total number of logical symbols in AI are ____________
a) There are 3 logical symbols
b) There are 5 logical symbols
c) Number of logical symbols are based on the input
d) Logical symbols are not used
View Answer

Answer: b
Explanation: There are totally five logical symbols. The five logical symbols are:
a) Negation
b) Conjunction
c) Disjunction
d) Implication
e) Biconditional
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20. Which of the following are the approaches to Artificial Intelligence?
a) Applied approach
b) Strong approach
c) Weak approach
d) All of the mentioned
View Answer

Answer: d
Explanation: Strong AI is used to build machines that can truly reason and solve problems.
Weak AI deals with building computer-based Artificial Intelligence that can act as if it were intelligent but cannot truly reason and solve problems. Applied approach creates commercially viable “smart” systems.
In the Cognitive approach, a computer is used to test theories about how the human mind works.

21. Face Recognition system is based on which type of approach?
a) Weak AI approach
b) Applied AI approach
c) Cognitive AI approach
d) Strong AI approach
View Answer

Answer: b
Explanation: Applied approach aims to produce commercially viable “smart” systems such as, for example, a security system that recognizes the faces of people to provide access. The applied approach has already enjoyed considerable success.

22. Which of the following is an advantage of artificial intelligence?
a) Reduces the time taken to solve the problem
b) Helps in providing security
c) Have the ability to think hence makes the work easier
d) All of the above
View Answer

Answer: d
Explanation: Artificial intelligence creates a machine that can think and make decisions without human involvement.

23. Which of the following can improve the performance of an AI agent?
a) Perceiving
b) Learning
c) Observing
d) All of the mentioned
View Answer

Answer: b
Explanation: An AI agent learns from previous states by saving it and responding to the same situation better if it occurs again in the future. Hence, learning can improve the performance of an AI agent.

24. Which of the following is/are the composition for AI agents?
a) Program only
b) Architecture only
c) Both Program and Architecture
d) None of the mentioned
View Answer

Answer: c
Explanation: An AI agent program will implement function mapping percepts to actions.

25. On which of the following approach A basic line following robot is based?
a) Applied approach
b) Weak approach
c) Strong approach
d) Cognitive approach
View Answer

Answer: b
Explanation: Weak approach is concerned with the development of a computer-based artificial intelligence that can behave intelligently but cannot really reason or solve issues. According to Weak approach, properly configured computers can mimic human intellect.

26. Artificial Intelligence has evolved extremely in all the fields except for _________
a) Web mining
b) Construction of plans in real time dynamic systems
c) Understanding natural language robustly
d) All of the mentioned
View Answer

Answer: d
Explanation: Artificial Intelligence is used in all the fields to make work easier and complete the work before the deadline. However, it could not excel in these fields. Hence, these areas need more focus for improvements.

27. Which of the following is an example of artificial intelligent agent/agents?
a) Autonomous Spacecraft
b) Human
c) Robot
d) All of the mentioned
View Answer

Answer: d
Explanation: Humans can be considered agents. Sensors include eyes, ears, skin, taste buds, and so on, whereas effectors include hands, fingers, legs, and mouth. Agents are robots. Sensors on robots might include a camera, sonar, infrared, bumper, and so on. Actuators can include grippers, wheels, lights, speakers, and other components. Based on its senses, autonomous spacecraft makes decisions on its own.

28. Which of the following is an expansion of Artificial Intelligence application?
a) Game Playing
b) Planning and Scheduling
c) Diagnosis
d) All of the mentioned
View Answer

Answer: d
Explanation: In recent days AI is used in all sectors in different forms. All sectors require intelligence and automation for its working.

29. What is an AI ‘agent’?
a) Takes input from the surroundings and uses its intelligence and performs the desired operations
b) An embedded program controlling line following robot
c) Perceives its environment through sensors and acting upon that environment through actuators
d) All of the mentioned
View Answer

Answer: d
Explanation: An AI agent is defined as anything that uses sensors and actuators to perceive and act on the environment. It receives information from its surroundings via sensors, executes operations, and outputs via actuators.

30. Which of the following environment is strategic?
a) Rational
b) Deterministic
c) Partial
d) Stochastic
View Answer

Answer: b
Explanation: In a deterministic environment the output is determined based on a particular state. If the environment is deterministic except for the action of other agents it is called deterministic.

31. What is the name of Artificial Intelligence which allows machines to handle vague information with a deftness that mimics human intuition?
a) Human intelligence
b) Boolean logic
c) Functional logic
d) Fuzzy logic
View Answer

Answer: d
Explanation: Many popular goods, such as microwave ovens, cars, and plug-in circuit boards for desktop PCs, employ the first widely-used commercial form of Artificial Intelligence. It enables robots to handle ambiguous data with a dexterity that resembles human intuition.

32. Which of the following produces hypotheses that are easy to read for humans?
a) Machine Learning
b) ILP
c) First-order logic
d) Propositional logic
View Answer

Answer: b
Explanation: ILP (Inductive logic programming) is a subfield of artificial intelligence. Because ILP can participate in the scientific cycle of experimentation So that it can produce a flexible structure.

33. What does the Bayesian network provide?
a) Partial description of the domain
b) Complete description of the problem
c) Complete description of the domain
d) None of the mentioned
View Answer

Answer: c
Explanation: A Bayesian network provides a complete description of the domain.

33. What is the total number of quantification available in artificial intelligence?
a) 4
b) 3
c) 1
d) 2
View Answer

Answer: d
Explanation: There are two types of quantification. They are:
a) Universal
b) Existential

34. What is Weak AI?
a) the study of mental faculties using mental models implemented on a computer
b) the embodiment of human intellectual capabilities within a computer
c) a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans
d) all of the mentioned
View Answer

Answer: a
Explanation: Weak AI is the study of mental faculties using mental models implemented on a computer.

35. Which of the following are the 5 big ideas of AI?
a) Perception
b) Human-AI Interaction
c) Societal Impact
d) All of the above
View Answer

Answer: d
Explanation: The 5 big ideas are:
AI MCQ


Chapterwise Multiple Choice Questions on Artificial Intelligence

Artificial Intelligence MCQ - Multiple Choice Questions and Answers

Our 1000+ MCQs focus on all topics of the Artificial Intelligence subject, covering 100+ topics. This will help you to prepare for exams, contests, online tests, quizzes, viva-voce, interviews, and certifications. You can practice these MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice.
  1. Introduction to Artificial Intelligence
  2. Intelligent Agents
  3. Problem Solving
  4. Adversarial Search
  5. Logical Agents
  6. Knowledge and Reasoning
  7. Planning and Acting in the Real World
  8. Uncertain Knowledge and Reasoning
  9. Learning
  10. Communicating, Perceiving and Acting
  11. LISP Programming
  12. Other AI Algorithms & Statistics

2. Artificial Intelligence MCQ on Intelligent Agents

The section contains Artificial Intelligence questions and answers on various aspects of intelligent agents like their architecture and environments.

  • Artificial Intelligence Agents
  • Intelligent Agents and Environment
  • Online Search Agent
  • Agent Architecture
  • Environments
  • 3. Artificial Intelligence Multiple Choice Questions on Problem Solving

    The section contains Artificial Intelligence MCQs on different approaches to problem solving like uninformed and informed search strategies, local search and optimization problems and other constraints satisfaction problems.

  • Problem Solving
  • Uninformed Search Strategy
  • Uninformed Search and Exploration
  • Informed Search Strategy
  • Informed Search and Exploration
  • Local Search Problems and Optimization Problems
  • Constraints Satisfaction Problems
  • 4. Artificial Intelligence Multiple Choice Questions on Adversarial Search

    The section contains Artificial Intelligence multiple choice questions and answers on approaches to game theory problems like state space search and alpha beta pruning.

  • Game Theory
  • State Space Search
  • Alpha Beta Pruning
  • 5. Artificial Intelligence MCQ on Logical Agents

    The section contains Artificial Intelligence questions and answers on agents that reason logically, first order logic and the inference in first order logic which includes forward and backward reasoning.

  • First-Order Logic
  • Propositional Logic
  • Resolution
  • Forward Chaining
  • Backward Chaining
  • 6. Artificial Intelligence MCQ on Knowledge and Reasoning

    The section contains AI MCQ Questions on inference in first order logic, rule based system, semantic net, frames, unification and lifting.

  • Knowledge and Reasoning
  • Inference in First-Order Logic
  • Rule Based System – 1
  • Rule Based System – 2
  • Semantic Net – 1
  • Semantic Net – 2
  • Frames
  • Unification and Lifting
  • 7. AI MCQ on Planning and Acting in the Real World

    The section contains AI multiple choice questions and answers on different types of planning like partial order planning, graph planning and real world planning.

  • Partial Order Planning
  • Partial Order Planning – 1
  • Graph Plan Algorithm
  • Planning and Acting in the Real World
  • 8. AI Multiple Choice Questions on Uncertain Knowledge and Reasoning

    The section contains AI questions and answers on uncertainty, probability notations and bayesian networks and various probabilistic reasoning systems. Hidden markov models, expert systems, Uncertain reasoning also includes semantic representation and object recognition.

  • Uncertain Knowledge and Reasoning
  • Semantic Interpretation
  • Object Recognition
  • Probability Notation
  • Bayesian Networks
  • Fuzzy Logic
  • Hidden Markov Models
  • Expert Systems
  • 9. Artificial Intelligence MCQ on Learning

    The section contains AI MCQs on learning from observations which includes decision trees, learning in neural and belief networks, reinforcement learning and knowledge in learning. It includes questions on inductive logic programming.

  • Learning – 1
  • Learning – 2
  • Learning – 3
  • Neural Networks – 1
  • Neural Networks – 2
  • Decision Trees
  • Inductive Logic Programming
  • 10. Artificial Intelligence MCQ on Communicating, Perceiving and Acting

    The section contains Artificial Intelligence multiple choice questions and answers on the agents that communicate which includes robotics, practical natural language processing and perceptions.

  • Communication
  • Perception
  • Speech Recognition
  • Image Perception
  • Robotics – 1
  • Robotics – 2
  • Natural Language Processing – 1
  • Natural Language Processing – 2
  • 11. Artificial Intelligence MCQ on LISP Programming

    The section contains Artificial Intelligence questions and answers on LISP programming.

  • LISP Programming – 1
  • LISP Programming – 2
  • LISP Programming – 3
  • 12. Multiple Choice Questions on Other AI Algorithms & Statistics

    The section contains MCQs on various other topics of artificial-intelligence, ai algorithms and statistics.

  • AI Algorithms
  • AI Statistics
  • Miscellaneous
  • If you would like to learn "Artificial Intelligence" thoroughly, you should attempt to work on the complete set of 1000+ MCQs - multiple choice questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

    Wish you the best in your endeavor to learn and master Artificial Intelligence!

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