WorksheetsUnit 1: Introduction to Artificial Intelligence (AI)
Total questions: 30
Worksheet time: 15mins
Which of the following best defines Artificial Intelligence (AI)?
A) A study of human anatomy
B) Programming computers to perform tasks that require human intelligence
C) A system that operates only on predefined rules
D) Manual operation of machines
Which of the following is a real-life example of AI?
Refrigerator cooling food
Google Maps navigation
Gas stove
Mechanical watch
Human intelligence differs from machine intelligence because humans can:
Process large datasets faster
Learn from emotions and experiences
Perform repetitive calculations
Store infinite data
One ethical concern in AI systems is:
Speed of computation
Data bias and privacy issues
Lack of RAM
Hardware dependency
Which domain of AI deals with understanding and generating human language?
Computer Vision
Data Science
Natural Language Processing (NLP)
Robotics
What is an “Intelligent Agent”?
A person who sells AI software
A device that perceives its environment and acts towards a goal
A non-programmable machine
A data storage device
Example of an intelligent agent used daily:
Thermometer
Washing machine timer
Voice assistants like Alexa or Siri
Fan regulator
Which of the following is not an AI domain?
Computer Vision
Natural Language Processing
Robotics
Manual Computation
Ethics in AI ensures that systems are:
Costly
Efficient and fair
Always offline
Non-programmable
AI applications like facial recognition belong to which domain?
Data Science
Computer Vision
NLP
Robotics
The first stage in the AI Project Cycle is:
Evaluation
Problem Scoping
Data Modelling
Deployment
Which stage of AI project cycle involves gathering relevant data?
Problem Scoping
Data Acquisition
Modelling
Evaluation
Data Exploration involves:
Deleting irrelevant data only
Understanding and visualizing data patterns
Building final models
Testing software
The “Modelling” stage focuses on:
Creating charts
Building and training algorithms
Data cleaning only
Final report writing
Why is model evaluation important?
It reduces model speed
It measures accuracy and reliability
It deletes data
Which Python library is commonly used for data analysis?
Pandas
Pillow
Turtle
Tkinter
Which command is used to read a CSV file in Python?
read.csv()
pd.read_csv()
import.csv()
file.read()
Virtual environments in Python are used to:
Play games
Manage different project dependencies
Increase RAM
Create animations
Which of the following is an example of a built-in Python function?
len()
custom_add()
add_data()
mean_value()
The for loop in Python is used for:
Conditional branching
Repetition of code blocks
Importing libraries
Terminating a program
Data Science primarily deals with:
Machine repair
Extracting insights from data
Writing novels
Music generation
Structured data is typically stored in:
(a)
An example of unstructured data is:
Excel table
CSV file
Text messages
Database records
Data Visualization helps in:
Hiding data
Understanding data patterns through charts
Encrypting data
Storing data
Data preprocessing helps to:
Introduce missing values
Clean and prepare data for modelling
Store large data in images
Translate data into another language
Computer Vision focuses on:
Enabling machines to see and interpret images
Data encryption
Audio recognition
Web browsing
Feature extraction in computer vision means:
Removing unnecessary files
Identifying important details in an image
Editing pictures
Compressing data
In image representation, each pixel contains:
Sound values
Colour values (RGB)
Text strings
Temperature data
Object Detection involves:
Recognizing and locating objects within an image
Counting text words
Cleaning data
Generating audio
A popular Python library for computer vision is:
Matplotlib
OpenCV
Requests
Numpy
