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Dataverse Quiz

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What is the primary goal of Data Science?

a)

Writing long code

b)

Extracting insights from data

c)

Designing websites

d)

Creating mobile apps

2.

Why is Python widely used in Data Science and ML?

a)

It runs only on high-end computers

b)

It has simple syntax and powerful libraries

c)

It is faster than all other languages

d)

It does not need data

3.

Which Python library is mainly used for numerical and mathematical operations?

a)

Pandas

b)

NumPy

c)

Matplotlib

d)

Seaborn

4.

What is a DataFrame in Pandas?

a)

A type of graph

b)

A 2D table-like data structure

c)

A machine learning model

d)

A Python loop

5.

Which of the following is an example of data cleaning?

a)

Training a model

b)

Removing missing or duplicate values

c)

Drawing graphs

d)

Writing equations

6.

Which library is commonly used to visualize data using plots and charts?

a)

NumPy

b)

Pandas

c)

Matplotlib

d)

Scikit-learn

7.

What does Machine Learning mainly allow a system to do?

a)

Store large data

b)

Learn patterns from data and make predictions

c)

Replace databases

d)

Work without data

8.

Linear Regression belongs to which type of Machine Learning?

a)

Unsupervised Learning

b)

Supervised Learning

c)

Reinforcement Learning

d)

Deep Learning

9.

Which mathematical concept is most commonly used in Linear Regression?

a)

Geometry

b)

Probability only

c)

Algebra and coordinate geometry

d)

Trigonometry

10.

What is the standard equation of a straight line used in Linear Regression?

a)

a² + b² = c²

b)

y = mx + c

c)

x² + y² = r²

d)

y = ax² + bx + c

11.

In the equation y = mx + c, what does m represent?

a)

Mean of data

b)

Slope of the line

c)

Maximum value

d)

Model accuracy

12.

In the equation y = mx + c, what does c represent?

a)

Correlation

b)

Intercept

c)

Classification

d)

Column

13.

Which step comes just BEFORE training a Machine Learning model?

a)

Deployment

b)

Data collection and preprocessing

c)

Model testing

d)

Prediction

14.

Which platform is commonly used by beginners to train ML models online without installation?

a)

Google Colab

b)

MS Paint

c)

Photoshop

d)

Notepad

15.

Which of the following is a real-life application of Linear Regression?

a)

Face recognition

b)

Predicting house prices based on area

c)

Playing games

d)

Image filtering