Artificial Intelligence & Machine Learning (MCQ)

Multiple Choice Questions (MCQ)

Subject: Artificial Intelligence & Machine Learning

Total Questions: 50

Section A: Artificial Intelligence

1. Artificial Intelligence (AI) is:

a) A programming language

b) A broad concept of intelligent machines

c) A database system

d) A hardware device

2. AI systems mainly work on:

a) Emotions

b) Algorithms and data

c) Luck

d) Guesswork

3. One advantage of AI is:

a) Sleeps regularly

b) Reduces human error

c) Gets tired

d) Needs motivation

4. AI can work:

a) Only 8 hours

b) Only daytime

c) 24/7

d) Only with supervision

5. AI systems require:

a) No data

b) Only emotions

c) Human supervision

d) No maintenance

6. Which of the following is a challenge of AI?

a) Creativity

b) Bias in algorithms

c) Natural thinking

d) Free computation

7. AI lacks:

a) Speed

b) Data processing

c) Moral judgment

d) Accuracy

8. Expert systems are an example of:

a) ML

b) DL

c) AI

d) Big Data

---

Section B: Machine Learning

9. Machine Learning (ML) is a subset of:

a) Big Data

b) AI

c) NLP

d) Robotics

10. ML enables computers to:

a) Sleep

b) Learn from data

c) Feel emotions

d) Replace humans

11. In ML, instead of typing rules, we provide:

a) Emotions

b) Hardware

c) Data

d) Electricity

12. Spam detection is an example of:

a) ML application

b) Hardware

c) Networking

d) Compiler

13. ML model performance depends heavily on:

a) Weather

b) Data

c) Luck

d) Color

14. Training data is used to:

a) Test model

b) Evaluate model

c) Train model

d) Delete model

15. Testing data is used to:

a) Train model

b) Evaluate model

c) Build hardware

d) Remove bias

16. A feature (X) refers to:

a) Output

b) Input variable

c) Error

d) Loss

17. Label (Y) refers to:

a) Input

b) Hidden layer

c) Target output

d) Noise

18. ML algorithm learns patterns from:

a) Electricity

b) Data

c) Emotions

d) Keyboard

19. Email filtering is an example of:

a) ML application

b) Compiler

c) CPU

d) Storage

20. Online recommendation systems (Amazon, Netflix) use:

a) ML

b) Printer

c) Keyboard

d) RAM

---

Section C: Deep Learning

21. Deep Learning is a subset of:

a) AI

b) ML

c) Data Science

d) Robotics

22. Deep Learning is based on:

a) Databases

b) Artificial Neural Networks

c) HTML

d) CPU

23. Deep Learning uses multiple:

a) Cables

b) Layers

c) Keyboards

d) Screens

24. CNN stands for:

a) Computer Neural Network

b) Convolutional Neural Network

c) Central Neural Node

d) Common Neural Network

25. RNN stands for:

a) Random Neural Network

b) Recurrent Neural Network

c) Rapid Neural Node

d) Real Network Node

26. ANN stands for:

a) Artificial Neural Network

b) Automatic Neural Node

c) Advanced Neural Network

d) Applied Neural Node

27. Deep learning is widely used in:

a) Image recognition

b) Painting

c) Cooking

d) Typing

28. Components of neural network include:

a) Input layer

b) Hidden layer

c) Output layer

d) All of the above

29. Activation function is used in:

a) Database

b) Neural Networks

c) Printer

d) CPU

30. Self-driving cars use:

a) Only hardware

b) Deep learning

c) Keyboard

d) Calculator

---

Section D: Data Science & Big Data

31. Data Science is a field that:

a) Deletes data

b) Extracts knowledge from data

c) Creates hardware

d) Makes games

32. Data Science uses:

a) Statistics

b) ML

c) Data visualization

d) All of the above

33. Big Data is characterized by:

a) 2 Vs

b) 3 Vs

c) 5 Vs

d) 10 Vs

34. One of the 5 Vs of Big Data is:

a) Volume

b) Voltage

c) Vacuum

d) Voice

35. Big Data provides:

a) Algorithms

b) Data

c) Labels

d) Errors

36. Data Science mainly:

a) Analyzes data

b) Deletes data

c) Stores only

d) Compresses

37. ML mainly:

a) Learns from data

b) Paints images

c) Repairs systems

d) Deletes memory

38. AI uses ML to:

a) Sleep

b) Make intelligent systems

c) Delete files

d) Replace hardware

---

Section E: NLP

39. NLP stands for:

a) Natural Language Processing

b) Neural Language Programming

c) Natural Learning Process

d) Network Language Protocol

40. NLP enables machines to:

a) Sleep

b) Understand human language

c) Cook food

d) Repair hardware

41. Sentiment analysis is a task of:

a) ML

b) NLP

c) Hardware

d) Networking

42. Machine translation is used in:

a) Google Translate

b) Calculator

c) Printer

d) RAM

43. Speech-to-text is an example of:

a) NLP

b) Big Data

c) Hardware

d) Storage

44. Tokenization is a step in:

a) NLP process

b) Hardware setup

c) CPU design

d) Networking

45. Stop-word removal is used in:

a) Gaming

b) NLP

c) Storage

d) Printing

Section F: Concepts & Errors

46. Overfitting occurs when model performs well on:

a) New data

b) Training data only

c) Both equally

d) None

47. Underfitting happens when model is:

a) Too complex

b) Too simple

c) Perfect

d) Fast

48. A model is:

a) Hardware

b) Mathematical representation of learned pattern

c) Printer

d) Keyboard

49. Which is NOT an AI challenge?

a) Data privacy

b) Ethical concerns

c) Unlimited creativity

d) High computational cost

50. AI is called an umbrella term because:

a) It covers ML and DL

b) It is small

c) It replaces data

d) It deletes algorithms

Answer Key :

Row 1 (1–25):

B B B C C B C C B B C A B C B B C B A A B B B B B

Row 2 (26–50):

A A D B B B D C A B A B B A B A B B A B B A B C A