Unit 1: AI Reflection & Ethics
Q1. Artificial Intelligence refers to:
a) Natural thinking
b) Human intelligence shown by machines
c) Manual processing
d) Electrical circuits
Q2. AI reflection mainly focuses on:
a) Hardware design
b) Ethical and social impact of AI
c) Internet speed
d) Programming language
Q3. Which value ensures AI decisions are fair?
a) Bias
b) Transparency
c) Accuracy
d) Fairness
Q4. AI bias is mainly caused due to:
a) Hardware failure
b) Biased training data
c) Fast algorithms
d) Large storage
Q5. Transparency in AI means:
a) Hiding decisions
b) Explaining how AI works
c) Increasing speed
d) Reducing data
Q6. Which is an ethical issue in AI?
a) Data privacy
b) High speed
c) Automation
d) Storage
Q7. Consent in AI means:
a) Forced permission
b) User’s free agreement
c) Hidden approval
d) Automatic access
Q8. Responsible AI should be:
a) Unfair
b) Secret
c) Accountable
d) Random
Q9. Human oversight in AI is important to:
a) Reduce data
b) Ensure responsible use
c) Increase automation
d) Remove control
Q10. AI ethics helps to:
a) Replace humans
b) Benefit society
c) Increase errors
d) Ignore values
Q11. Which is NOT a principle of ethical AI?
a) Fairness
b) Transparency
c) Bias
d) Accountability
Q12. Privacy in AI is related to:
a) Hardware safety
b) Protecting personal data
c) Internet speed
d) Machine learning
Unit 2: AI Project Cycle
Q13. The first step of AI Project Cycle is:
a) Data Acquisition
b) Problem Scoping
c) Modeling
d) Evaluation
Q14. Problem scoping helps to:
a) Train model
b) Define goals and constraints
c) Store data
d) Test results
Q15. Identifying stakeholders is part of:
a) Data modeling
b) Problem scoping
c) Evaluation
d) Deployment
Q16. Data Acquisition means:
a) Cleaning data
b) Collecting data
c) Testing data
d) Deleting data
Q17. Primary data is collected from:
a) Internet
b) Books
c) Direct sources
d) Reports
Q18. Data Exploration helps to:
a) Understand patterns
b) Remove data
c) Encrypt data
d) Store data
Q19. Which graph is best for comparing categories?
a) Line graph
b) Bar graph
c) Pie chart
d) Scatter plot
Q20. Modeling in AI means:
a) Writing problem
b) Creating AI model
c) Collecting data
d) Visualizing data
Q21. Training data is used to:
a) Test model
b) Teach model
c) Deploy model
d) Remove errors
Q22. Evaluation stage checks:
a) Data size
b) Model accuracy
c) Hardware speed
d) Memory
Q23. Poor data quality leads to:
a) Better output
b) Biased results
c) Faster AI
d) Accurate decisions
Q24. AI Project Cycle is:
a) Linear only
b) Iterative process
c) One-time process
d) Random
Unit 3: Advance Python (Practical Based)
Q25. Python is a:
a) Low-level language
b) High-level language
c) Machine language
d) Assembly language
Q26. Which symbol is used for comments in Python?
a) //
b) #
c)
d) **
Q27. Which data type stores multiple values?
a) Integer
b) Float
c) List
d) Boolean
Q28. A loop is used to:
a) Stop program
b) Repeat instructions
c) Delete data
d) Print errors
Q29. Which loop runs a fixed number of times?
a) while
b) for
c) if
d) else
Q30. Which function is used to take input?
a) print()
b) scan()
c) input()
d) read()
Q31. Which keyword is used to define a function?
a) function
b) def
c) define
d) fun
Q32. Python is widely used in AI because it:
a) Is slow
b) Has simple syntax
c) Uses hardware
d) Has no libraries
Q33. Which library is used for numerical computation?
a) NumPy
b) Pandas
c) Matplotlib
d) OpenCV
Q34. Indentation in Python is used to:
a) Improve speed
b) Define blocks of code
c) Add comments
d) Store data
Q35. Which statement is used for decision making?
a) loop
b) if
c) break
d) continue
Q36. Python programs are:
a) Compiled only
b) Interpreted
c) Machine level
d) Binary
Unit 4: Data Science (Practical Based)
Q37. Data Science deals with:
a) Hardware
b) Extracting insights from data
c) Internet
d) Networks
Q38. Data refers to:
a) Instructions
b) Raw facts and figures
c) Programs
d) Commands
Q39. Structured data is stored in:
a) Images
b) Tables
c) Videos
d) Audio
Q40. Which is an example of unstructured data?
a) Excel sheet
b) Database
c) Text message
d) CSV file
Q41. Data visualization helps in:
a) Hiding data
b) Easy understanding
c) Increasing size
d) Deleting data
Q42. A pie chart shows:
a) Trend
b) Proportion
c) Comparison
d) Relation
Q43. Which data type represents categories?
a) Numerical
b) Categorical
c) Continuous
d) Binary
Q44. Data cleaning is done to:
a) Add errors
b) Improve data quality
c) Reduce storage
d) Encrypt data
Q45. Big data is defined by:
a) Small size
b) Volume, Variety, Velocity
c) Manual handling
d) Low speed
Q46. Which tool is used for data analysis?
a) Paint
b) Excel
c) Notepad
d) Calculator
Q47. Data bias occurs when:
a) Data is fair
b) Data is balanced
c) Data favors one group
d) Data is large
Q48. Data Science is important for AI because:
a) AI works on data
b) AI ignores data
c) AI uses hardware
d) AI avoids learning
Unit 5: Computer Vision (Practical Based)
Q49. Computer Vision enables machines to:
a) Hear sound
b) See and understand images
c) Write code
d) Store data
Q50. Images are represented in computers as:
a) Letters
b) Pixels
c) Sounds
d) Text
Q51. Pixel stands for:
a) Picture element
b) Photo element
c) Print element
d) Program element
Q52. Which library is used for computer vision?
a) NumPy
b) Pandas
c) OpenCV
d) TensorFlow
Q53. Face recognition is an application of:
a) Data Science
b) Computer Vision
c) Networking
d) Hardware
Q54. Object detection helps in:
a) Finding objects in images
b) Printing images
c) Storing files
d) Playing videos
Q55. Computer Vision is widely used in:
a) Self-driving cars
b) Typewriters
c) Printers
d) Calculators
Q56. Image classification means:
a) Editing images
b) Assigning labels to images
c) Deleting images
d) Encrypting images
Q57. Camera acts as:
a) Output device
b) Input device
c) Storage device
d) Processing unit
Q58. Which technology is used in face unlock?
a) Database
b) Computer Vision
c) Compiler
d) Firewall
Q59. Computer Vision works with:
a) Audio data
b) Image and video data
c) Text data
d) Numeric data
Q60. Computer Vision applications should be:
a) Biased
b) Ethical and responsible
c) Hidden
d) Uncontrolled
