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Introduction to Data Science

Total questions: 10

Worksheet time: 50secs

Name
Class
Date
1.

Which of the following is an example of structured data?

a)

A customer’s age stored in a database

b)

A video uploaded on YouTube

c)

A tweet with hashtags

d)

A hand-drawn sketch

2.

Why is data considered important in modern systems?

a)

It reduces the cost of storage

b)

It fuels innovation and evidence-based decisions

c)

It replaces the need for coding

d)

It only powers social media platforms

3.

Which of the following is a real-world use of data science?

a)

Predicting weather

b)

Playing board games

c)

Writing novels

d)

Growing plants

4.

Data Science mainly involves:

a)

Collecting and cleaning data

b)

Playing games

c)

Printing documents

d)

Building mechanical machines

5.

Which of these best describes Machine Learning (ML)?

a)

Manually programming every rule

b)

Teaching computers to learn patterns from data

c)

Creating websites

d)

Building physical robots

6.

What is the key difference between AI and ML?

a)

ML is a subset of AI

b)

AI is a subset of ML

c)

They are unrelated fields

d)

ML uses only images, while AI uses text

7.

Which tool is commonly used for data visualization in data science?

a)

Hadoop

b)

SQL

c)

Tableau

d)

TensorFlow

8.

Which of the following is a challenge in data science?

a)

High-speed internet

b)

Data privacy and ethics

c)

Playing online games

d)

Reducing human creativity

9.

Which is a future trend in data science/AI ?

a)

AutoML

b)

Manual coding only

c)

Removing AI from IoT

d)

Ending big data analysis

10.

Deep Learning (DL) is:

a)

A subset of AI using statistics

b)

A subset of ML using deep neural networks

c)

A programming language

d)

A type of database