Essential AI Fundamentals MCQs With Answers

If you’re on the journey of learning AI, you must go through some questions on AI fundamentals to put your knowledge to the test. Whether you’re starting your AI journey or advancing your career, these questions cover AI definitions, Machine Learning vs. Deep Learning, AI agents, sensor significance, models, and environmental classifications.

With AI and ML becoming increasingly integrated into our daily lives, understanding their essentials has become essential. You can learn the basics of AI and more through the courses available with Interview Kickstart.

We have compiled these AI fundamentals questions for tech enthusiasts or anyone looking to gauge their knowledge around the evolving Artificial Intelligence and Machine Learning.

These MCQs on AI fundamentals cover basic questions only.

Types of AI Based on Capabilities

Weak AI (Narrow AI) is specialized AI designed for specific tasks, limited to its predefined functions, with examples like Apple Siri and IBM’s Watson.

General AI, with human-like capabilities to perform any intellectual task, is currently a concept under ongoing research.

Super AI, surpassing human intelligence in all aspects, is a hypothetical concept with abilities like thinking, reasoning, and learning.

Artificial Intelligence MCQs with Answers

To grasp the AI basics and machine learning concepts, here are some of the famous artificial intelligence MCQs to help you assess your understanding of AI.

Q1. Which of the following consists of AI?

1. Machine Learning
2. Deep Learning
3. Both (A) and (B)
4. None of the above

Answer: C. Both (A) and (B)

Q2. Find whether the following is true or false.

“Artificial intelligence is defined as the ability to mimic a human. Therefore, if a robot can move from one location to another like a human, it is considered artificial intelligence.”

1. True
2. False

Answer: B. False

Q3. Which of these human behaviors is artificial intelligence trying to imitate?

1. Thinking
2. Eating
3. Sleeping
4. None of the above

Answer: A. Thinking

Q4. Which one of the following is not an objective of AI?

1. Thinking humanly
2. Adapting to the environment and situations
3. To rule over humans
4. Real-life problem-solving

Answer: C. To rule over humans

Q5. “In AI, we study the whole universe by dividing it into two components.” What are these two components?

1. Sky and Land
2. Agent and Environment
3. Yes or No
4. None of the above

Answer: B. Agent and environment

Q6. An AI agent performs which of the following main tasks?

1. Movement and Humanly Actions
2. Perceiving and acting on the environment
3. Input and Output
4. None of the above

Answer: B. Perceiving and acting on the environment

Q7. State whether the following statement is true or false.

“An Artificial Intelligence-based agent is not required to be capable of doing tasks on its own without any human intervention for inputs or other commands.”

1. True
2. False

Answer: A. True

Q8. Which of the following agent components do you believe is the most important in terms of artificial intelligence?

1. Wheels and Steering
2. Sensors and Actuators
3. Arms and Legs
4. All of the above

Answer: B. Sensors and Actuators

Q9. Which of the given is not an objective of an AI agent?

1. Adapting to the environment and situations
2. Perceiving data from the environment
3. Acting upon the Environment
4. Reversing the previously performed actions

Answer: D. Reversing the previously performed actions.

Q10. “An AI agent is defined through its PEAS.” What does the term PEAS stand for?

1. Personal Enhancement Area in Science
2. Performance, Environment, Actuators, and Sensors
3. Performance, Entity, Area, State
4. None of the above

Answer: B. Performance, Environment, Actuators, and Sensors

Q11. Which of the following is a valid AI agent type?

1. Simple-based Reflex agent
2. Model-Based Reflex Agent
3. Goal Based Agent
4. All of the above

Answer: D. All of the above

Q12. State whether the following condition is true or false.

“A simple reflex-based agent does not care about meeting the utility of the user.”

1. True
2. False

Answer: A. True

Q13. Which of the listed qualities of the Utility-based AI agent distinguishes it from the other AI agents?

1. Responding and providing a solution to the problem
2. Meeting the preference of the user
3. Meeting the goal
4. All of the above

Answer: B. Meeting the preference of the user

Q14. Which of the following does not represent a Goal-based agent?

1. Reaching the goal in a minimal amount of time
2. Reaching the initial state again after reaching the final goal state
3. Reaching the goal at a minimal cost
4. None of the above

Answer: B. Reaching the initial state again after reaching the final goal state

Q15. Which of the following is considered the most powerful AI agent?

1. Simple-based reflex agent
2. Model-based reflex agent
3. Goal-based agent
4. Utility-based agent

Answer: D. Utility-based agent

Q16. Which of the listed environmental categorizations is accurate?

1. Deterministic and Non-Deterministic
2. Observable and partially-observable
3. Static and dynamic
4. All of the above

Answer: D. All of the above

Q17. State whether the given statement is true or false.

“The classification of the environment is independent of the kind of AI model being used.”

1. True
2. False

Answer: B. False

Q18. Which of the following Environment Classifications defines whether the environment elements are static or evolving?

1. Deterministic and non-Deterministic
2. Observable and partially-observable
3. Static and dynamic
4. All of the above

Answer: C. Static and dynamic

Q19. Which of the following, in terms of AI’s categorization of environments, is not considered an authentic environment type?

1. Deterministic and non-Deterministic
2. Observable and partially-observable
3. Static and dynamic
4. Left-sided and right-sided

Answer: D. Left-sided and right-sided

Q20. Which of the following is considered the most specific environment classification in AI?

1. Discrete or Continuous
2. Observable and partially-observable
3. Static and dynamic
4. None of the above

Answer: D. None of the above

Q21. Which of the following definitions correctly defines the state space in an AI system?

1. A state space can be defined as the collection of all the problem states
2. A state space is a state which exists in an environment which is in outer space
3. A state space is the total space accessible to the agent in the state
4. All of the above

Answer: A. A state space can be defined as the collection of all the problem states

Q22. State whether the following condition is true or false.

“An AI agent can’t be in any other state except for those included in the state space for that specific system.”

1. True
2. False

Answer: A. True

Q23. Which of the mentioned definitions correctly defines ‘move’ for an AI agent?

1. When the agent traverses from one place to another, then it is called the move of the agent
2. When the agent goes from one state to another, it is known as a move
3. Both (A) and (B)
4. None of the above

Answer: B. When the agent goes from one state to another, it is known as a move

Q24. “The complete set of rules for defining the logical movements of an AI agent for changes of the states.” What is meant by the phrase above?

1. Documentation for an AI agent
2. Production rules for an AI agent
3. Pseudo Code for an AI agent
4. None of the above

Answer: B. Production rules for an AI agent

Q25. State whether the following condition is true or false.

“Fault tolerance of a system can be referred to as the ability of a system to sustain failures and continue functioning.”

1. True
2. False

Answer: A. True

Q26. Which of the following agents is the best in terms of AI?

1. An agent that needs user input to solve any problem
2. An agent that requires a model problem that is similar to the current problem specified in its knowledge base before the actual problem
3. An agent that can handle any problem by itself without needing human interaction
4. All of the above

Answer: C. An agent that can handle any problem by itself without needing human interaction

Q27. Given below are certain steps

1. Gathering knowledge
2. Defining problem
3. Applying solution
4. Planning
5. Forming the state space

Q28. What is the correct order for solving an AI problem?

1. i. v. ii. iv. iii.
2. i. ii. iii. iv. v.
3. ii. i. v. iv. iii.
4. None of the above

Answer: C. ii. i. v. iv. iii.

Q29. Which of the mentioned options are a part of ‘planning’ while solving a problem by an AI agent?

1. Deciding which data Structure to choose
2. Forming the control strategy
3. Inferring for similar problems in the knowledge base
4. All of the above

Answer: D. All of the above

Q30. Consider the given phrase

“After the gathering of all the knowledge and planning the approaches, the knowledge should be applied, and the plans should be executed in a systematic manner to reach the final goal state most efficiently and fruitfully.”

Q31. What does the above definition refer to?

1. Knowledge gathering strategy
2. The final step of solving the AI problem which is applying the strategies
3. State space deciding
4. None of the above

Answer: B. The final step of solving the AI problem which is applying the strategies

Q32. Consider the following statement,

“Gathering knowledge is to gather and isolate only that knowledge which is present in the Knowledge base of the agent.”

State whether the above condition is true or false.

1. True
2. False

Answer: B. False

Q32. The main aim of an AI system is to solve real-life problems by acting and thinking humanly. What’s the first step an agent follows when faced with a problem?

1. Searching for relevant data in the surroundings
2. Searching into its knowledge base for solutions
3. Seeking human input for approaching the solution
4. None of the above

Answer: B. Searching into its knowledge base for solutions

Q33. Which of the following searches are heuristic searches?

1. Random Search
2. Depth First Search
3. Breadth-First Search
4. Best First Search

Answer: D. Best First Search

Q34. Which property differentiates heuristic search from other searches?

1. It provides a solution in a reasonable time frame
2. It provides a reasonably accurate direction to a goal
3. It considers both actual and approximate costs
4. All of the above

Answer: D. All of the above

Q35. Which search algorithm traverses one side of the tree before the other?

1. The Breadth First Search (BFS)
2. The Depth First Search (DFS)
3. The A* search
4. None of the above

Answer: B. The Depth First Search (DFS)

Q36. Which algorithm is used for victory/defeat decision-making in Game trees?

1. BFS
2. Heuristic search
3. Min/max algorithm
4. DFS

Answer: C. min/max algorithm

Learn AI and Advance Your Career with AI

We offer a wide range of AI courses designed for both tech professionals and individuals from diverse domains.

To begin with, we have the Applied GenAI course ideal for anyone who wants to unleash their creative potential and stay ahead of the curve. Or, if you’re seeking to advance your skills, we have an Advanced Gen AI course as well.

With AI shaping industries worldwide, mastering these skills is crucial for staying competitive. So, equip yourself with the expertise needed to lead in the transformative field of AI, starting with our specialized courses today!

FAQs: Artificial Intelligence MCQs

Q1. How much does an AI engineer make?

An AI engineer makes around $155,122 on average per year in the USA.

Q2. What makes machine learning different?

In traditional programming, the instructions are given. Meanwhile, in ML, computers learn from data without the need for explicit programming.

Q3. What is the difference between AI and Robotics?

AI focuses on machine intelligence; Robotics is about building and operating robots.

Q4. What are the ethical issues with AI?

Ethical concerns include bias in algorithms, data privacy, displacement of jobs, accountability, and misuse.

Q5. What are the ways of learning AI?

You can learn via online courses, books, tutorials, and hands-on projects that cover machine learning, neural networks, natural language processing, and computer vision.

Q6. What problems do AI projects encounter?

The challenges are getting quality data, managing resources, ensuring transparency, addressing ethics and laws, and integrating AI with the existing systems.

Related Articles: 

• Cyber Security MCQs with Answers
• Top 30 Machine Learning MCQs with Answers
• Top 30 Computer Network MCQs with Answers
• Key Software Testing MCQs with Answers for Quality Assurance Professionals