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ARTIFICIAL INTELLIGENCE

Total questions: 50

Worksheet time: 9mins

Name
Class
Date
1.
Artificial Intelligence refers to
a)
Natural intelligence of humans
b)
Intelligence shown by animals
c)
Intelligence demonstrated by machines
d)
Intelligence of robots only
2.
Which of the following is an example of AI?
a)
Calculator
b)
Washing machine
c)
Voice assistant
d)
Electric fan
3.
The main goal of Artificial Intelligence is to
a)
Replace humans
b)
Make machines intelligent
c)
Increase hardware speed
d)
Reduce electricity consumption
4.
Which stage comes first in the AI Project Cycle?
a)
Data Exploration
b)
Problem Scoping
c)
Modelling
d)
Evaluation
5.
Problem scoping helps to
a)
Collect data
b)
Train model
c)
Define the problem clearly
d)
Test the solution
6.
Stakeholders are
a)
Data values
b)
Machines
c)
People affected by the AI solution
d)
Software tools
7.
Which of the following is NOT a stakeholder?
a)
End users
b)
Developers
c)
Data scientists
d)
Internet
8.
Data is best described as
a)
Random numbers
b)
Processed information
c)
Raw facts and figures
d)
Knowledge
9.
Structured data is
a)
Images and videos
b)
Audio files
c)
Data in tables and rows
d)
Handwritten notes
10.
Which of the following is unstructured data?
a)
Excel sheet
b)
Database table
c)
Text document
d)
CSV file
11.
Data exploration helps to
a)
Remove AI bias
b)
Understand patterns in data
c)
Write algorithms
d)
Install software
12.

Data visualization is done using

a)

Programs

b)

Charts and graphs

c)

Algorithms

d)

Sensors

13.

Which graph is best for comparison?

a)

Line graph

b)

Bar graph

c)

Pie chart

d)

Scatter plot

14.

Modeling in AI means

a)

Collecting data

b)

Cleaning data

c)

Creating AI solution

d)

Testing hardware

15.
Machine Learning is a subset of
a)
Robotics
b)
Data Science
c)
Artificial Intelligence
d)
Programming
16.
Which type of learning uses labeled data?
a)
Reinforcement learning
b)
Unsupervised learning
c)
Supervised learning
d)
Deep learning
17.
Which learning method does NOT use labeled data?
a)
Supervised learning
b)
Unsupervised learning
c)
Classification
d)
Regression
18.
Spam email detection is an example of
a)
Regression
b)
Clustering
c)
Classification
d)
Association
19.

The evaluation stage helps to

a)

Improve data quality

b)

Measure model performance

c)

Collect data

d)

Remove stakeholders

20.

The accuracy of a model shows

a)

Speed of execution

b)

Percentage of correct predictions

c)

Size of dataset

d)

Type of algorithm

21.
Bias in AI means
a)
Fast processing
b)
Unfair results
c)
High accuracy
d)
Large dataset
22.
AI bias mostly occurs due to
a)
Hardware failure
b)
Poor internet
c)
Biased data
d)
Slow software
23.
Ethics in AI focuses on
a)
Speed of AI
b)
Cost of AI
c)
Responsible use of AI
d)
Programming languages
24.
Which is an ethical concern in AI?
a)
Data privacy
b)
Faster computation
c)
Storage size
d)
Screen resolution
25.

Facial recognition systems are used for

a)

Weather prediction

b)

Face detection and identification

c)

Text editing

d)

File compression

26.
What is the first stage of the AI Project Cycle?
a)
Data Acquisition
b)
Problem Scoping
c)
Modelling
d)
Evaluation
27.

Which tool defines the problem in Problem Scoping?

a)

4Ws Canvas

b)

Bar Chart

c)

Python

d)

Sensors

28.
In 4Ws, 'Who' refers to?
a)
The Goal
b)
The Stakeholders
c)
The Problem
d)
The Location
29.
Gathering data from various sources is called?
a)
Data Scoping
b)
Data Acquisition
c)
Data Cleaning
d)
Data Modelling
30.

Data in rows and columns is called?

a)

Unstructured Data

b)

Semi-structured

c)

Structured Data

d)

No Data

31.

Which step involves visualizing data through graphs?

a)

Problem Scoping

b)

Evaluation

c)

Data Exploration

d)

Modeling

32.
What does CV stand for in AI?
a)
Computer Version
b)
Computer Vision
c)
Calculated Value
d)
Central Vision
33.

The smallest unit of a digital image is:

a)

Dot

b)

Bit

c)

Pixel

d)

Layer

34.

Which domain is used for facial recognition?

a)

NLP

b)

Data Science

c)

Computer Vision

d)

Robotics

35.
RGB stands for Red, ____, and Blue.
a)
Grey
b)
Gold
c)
Green
d)
Graph
36.
What does NLP stand for?
a)
New Language Process
b)
Natural Language Processing
c)
Node Level Program
d)
Next Line Program
37.
Siri and Alexa are examples of which AI domain?
a)
Data Science
b)
Computer Vision
c)
NLP
d)
Modelling
38.

Breaking a sentence into individual words is called:

a)

Stemming

b)

Tokenization

c)

Normalization

d)

Lemmatization

39.
Common words like 'the', 'is', 'at' are called:
a)
Key words
b)
Main words
c)
Stop words
d)
Action words
40.

Which stage checks the AI model's performance?

a)

Problem Scoping

b)

Data Acquisition

c)

Evaluation

d)

Modelling

41.

A table to evaluate model performance is:

a)

Data Table

b)

Confusion Matrix

c)

Score Board

d)

Graph Table

42.
Accuracy means the ratio of ____ to total predictions.
a)
Wrong answers
b)
Correct predictions
c)
Total data
d)
User input
43.
Artificial Neural Networks are inspired by:
a)
Human Brain
b)
Solar System
c)
Mechanical Clock
d)
Computers
44.

Which graph best shows data distribution?

a)

Line Graph

b)

Histogram

c)

Flowchart

d)

Pie Chart

45.
Unstructured data includes:
a)
Excel Sheets
b)
SQL Tables
c)
Images and Videos
d)
CSV Files
46.
In the 4Ws Canvas, 'Where' refers to:
a)
The Problem
b)
The Context/Location
c)
The Solution
d)
The People
47.

Data exploration helps us find ____ in data.

a)

Hardware

b)

Patterns

c)

Electricity

d)

Money

48.
Which domain deals with numerical and statistical data?
a)
NLP
b)
Computer Vision
c)
Data Science
d)
Game Theory
49.

Modeling is the stage where we create an:

a)

Email

b)

AI Algorithm/Model

c)

Poster

d)

Webpage

50.

Which AI domain do Snapchat filters use?

a)

Data Science

b)

NLP

c)

Computer Vision

d)

Statistics

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