Artificial Intelligence (AI)

1. Artificial Intelligence is the field of study that focuses on:
(A) Human biology
(B) Making machines intelligent
(C) Historical linguistics
(D) Social sciences only

2. Who is considered the father of Artificial Intelligence?
(A) Alan Turing
(B) John McCarthy
(C) Marvin Minsky
(D) Herbert Simon

3. Alan Turing is known for proposing:
(A) The Turing Test
(B) Machine learning algorithms
(C) Neural networks
(D) Expert systems

4. The Turing Test evaluates:
(A) Whether a machine can exhibit human-like intelligence
(B) The speed of a computer
(C) Memory storage capacity
(D) Speech recognition accuracy

5. Machine Learning is a subset of AI concerned with:
(A) Systems that learn from data
(B) Writing rules manually
(C) Symbolic reasoning only
(D) Human memory

6. Deep Learning models are based on:
(A) Artificial neural networks
(B) Symbolic logic
(C) Genetic algorithms
(D) Expert rules

7. Natural Language Processing (NLP) is an AI field that studies:
(A) Human–computer interaction with language
(B) Data storage systems
(C) Circuit design
(D) Historical scripts

8. Which of the following is an application of AI in healthcare?
(A) Disease diagnosis using AI algorithms
(B) Only manual surgery
(C) Writing prescriptions by hand
(D) Storing patient data manually

9. Which AI technique is inspired by the human brain?
(A) Neural networks
(B) Symbolic reasoning
(C) Linear regression
(D) Boolean algebra

10. Expert systems in AI use:
(A) Knowledge bases and inference engines
(B) Large neural networks only
(C) Natural speech
(D) Genetic programming

11. IBM’s Deep Blue is famous for defeating:
(A) Garry Kasparov in chess
(B) Tiger Woods in golf
(C) Michael Jordan in basketball
(D) Usain Bolt in racing

12. Google’s AlphaGo defeated a world champion in:
(A) Go
(B) Chess
(C) Tennis
(D) Poker

13. The branch of AI that deals with reasoning under uncertainty is:
(A) Fuzzy logic
(B) Symbolic logic
(C) Deterministic logic
(D) Neural learning

14. Reinforcement Learning is based on:
(A) Rewards and punishments to guide learning
(B) Manual rule-setting
(C) Symbol manipulation only
(D) Data compression

15. The perceptron is a type of:
(A) Neural network model
(B) Genetic algorithm
(C) Rule-based expert system
(D) Semantic web tool

16. AI in robotics is mainly used for:
(A) Autonomy and decision-making
(B) Manual control
(C) Only mechanical design
(D) Non-intelligent machines

17. Which of the following is NOT an AI programming language?
(A) Prolog
(B) LISP
(C) Python
(D) COBOL

18. LISP was created by:
(A) John McCarthy
(B) Alan Turing
(C) Herbert Simon
(D) Marvin Minsky

19. Which search algorithm explores all nodes at the current depth before going deeper?
(A) Breadth-first search
(B) Depth-first search
(C) Best-first search
(D) A* search

20. Heuristic functions in AI are used for:
(A) Guiding search algorithms
(B) Data compression
(C) Memory storage
(D) Language translation

21. Which AI approach simulates natural evolution?
(A) Genetic algorithms
(B) Expert systems
(C) Symbolic reasoning
(D) Decision trees

22. The “intelligent agent” concept in AI refers to:
(A) An autonomous entity that perceives and acts
(B) A simple rule book
(C) A computer virus
(D) A data storage system

23. A chatbot is an example of:
(A) Natural Language Processing
(B) Genetic algorithm
(C) Image recognition
(D) Sensor fusion

24. Computer vision in AI enables machines to:
(A) Interpret and understand images or videos
(B) Perform only text analysis
(C) Store files
(D) Translate speech

25. Supervised learning requires:
(A) Labeled training data
(B) No training data
(C) Only rules
(D) Random exploration

26. Unsupervised learning finds:
(A) Hidden patterns in unlabeled data
(B) Answers with supervision
(C) Direct rule sets
(D) Exact outcomes

27. Semi-supervised learning uses:
(A) Both labeled and unlabeled data
(B) No data
(C) Only rules
(D) Reinforcement signals

28. Which of the following is an example of unsupervised learning?
(A) Clustering
(B) Regression
(C) Classification
(D) Reinforcement learning

29. Which neural network architecture is widely used in image recognition?
(A) Convolutional Neural Networks (CNNs)
(B) Recurrent Neural Networks (RNNs)
(C) Decision Trees
(D) Bayesian Networks

30. RNNs are particularly useful for:
(A) Sequential data like language and time series
(B) Static images
(C) Fixed datasets only
(D) Graph theory

31. A decision tree is a model used for:
(A) Classification and regression tasks
(B) Image recognition only
(C) Robotics
(D) Circuit design

32. An AI system that mimics human reasoning with IF–THEN rules is:
(A) Expert system
(B) Neural network
(C) Fuzzy system
(D) Genetic algorithm

33. Knowledge representation in AI involves:
(A) Encoding information about the world for decision-making
(B) Only storing raw data
(C) File compression
(D) Syntax correction

34. A Bayesian network is useful for:
(A) Representing probabilistic relationships among variables
(B) Circuit design
(C) Data compression
(D) Syntax analysis

35. AI ethics focuses on:
(A) Responsible and fair use of AI technologies
(B) Only programming errors
(C) Circuit efficiency
(D) Rule-based syntax

36. Strong AI aims to:
(A) Achieve human-like general intelligence
(B) Solve only narrow tasks
(C) Focus only on programming
(D) Work on arithmetic problems

37. Weak AI refers to:
(A) Systems specialized in narrow tasks
(B) Machines smarter than humans
(C) Universal grammar
(D) Symbolic reasoning

38. AlphaZero is an AI program developed by:
(A) DeepMind
(B) IBM
(C) Microsoft
(D) OpenAI

39. GPT models (like me) are based on:
(A) Transformer architecture
(B) Decision trees
(C) Genetic algorithms
(D) Fuzzy logic

40. The hidden layers in a neural network perform:
(A) Feature extraction
(B) Memory storage
(C) Input duplication
(D) Rule writing

41. Overfitting in AI models means:
(A) The model performs well on training data but poorly on unseen data
(B) The model generalizes perfectly
(C) No errors occur
(D) The model learns too little

42. Which of the following helps reduce overfitting?
(A) Regularization
(B) Memorization
(C) Increasing parameters
(D) Ignoring validation data

43. In AI, “Big Data” refers to:
(A) Extremely large and complex datasets used for learning
(B) Small datasets
(C) Data stored manually
(D) Random samples only

44. Speech recognition AI converts:
(A) Spoken words into text
(B) Text into handwriting
(C) Images into code
(D) Syntax into rules

45. Which of the following is an AI cloud platform?
(A) Google AI Platform
(B) Adobe Photoshop
(C) MS Word
(D) Notepad

46. The field of AI that allows machines to plan actions is:
(A) Automated planning
(B) Clustering
(C) Classification
(D) Semantic analysis

47. Robotics combines AI with:
(A) Mechanical and electrical engineering
(B) Literature
(C) Law
(D) History

48. Which of the following is a limitation of AI?
(A) Lack of common sense reasoning
(B) Ability to learn patterns
(C) Data analysis
(D) Automation

49. One major risk of AI is:
(A) Job displacement due to automation
(B) Increased manual labor
(C) Lower data accuracy
(D) Reduced computational power

50. AI’s ultimate goal is to:
(A) Create machines with human-like intelligence and adaptability
(B) Replace programming languages
(C) Remove mathematics from computing
(D) Eliminate all errors permanently