wayground logo

Free Printable Worksheets

NEW

Font size

S
M
L
XL
Worksheets

Big Data Quiz

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

What does "Big Data" refer to?

a)

Small datasets stored in Excel

b)

Large, complex datasets that traditional tools can’t handle

c)

Data stored on personal computers

d)

Only social media data

2.

Which of the following is NOT one of the 5 Vs of Big Data?

a)

Volume

b)

Velocity

c)

Visualization

d)

Variety

3.

Which of these tools is primarily used for Big Data processing?

a)

Hadoop

b)

Excel

c)

Canva

d)

Trello

4.

Structured data is:

a)

Text-heavy and qualitative

b)

Organized in rows and columns

c)

Without predefined format

d)

Always unorganized

5.

Which of the following is a NoSQL database?

a)

MySQL

b)

MongoDB

c)

Oracle

d)

MS Access

6.

What is the primary role of a Business Analyst in a Big Data project?

a)

Writing machine learning algorithms

b)

Interpreting data insights to guide business decisions

c)

Managing data storage

d)

Developing mobile apps

7.

What is machine learning primarily used for?

a)

Manual data entry

b)

Automating predictions and pattern recognition

c)

Replacing data storage systems

d)

Creating charts manually

8.

Supervised learning requires:

a)

No data

b)

Labeled data for training

c)

Only text data

d)

Random datasets

9.

Which algorithm is used for classification problems?

a)

Linear Regression

b)

Logistic Regression

c)

K-Means Clustering

d)

PCA

10.

What does the p-value help determine in hypothesis testing?

a)

Data storage limit

b)

Significance of results

c)

The mean of a dataset

d)

Correlation strength

11.

What is the difference between descriptive and inferential statistics?

a)

Descriptive analyzes samples; inferential describes data

b)

Descriptive summarizes data; inferential makes predictions

c)

Both are identical

d)

Inferential doesn’t use data

12.

What does a correlation coefficient close to +1 indicate?

a)

Weak negative relationship

b)

Strong positive relationship

c)

No relationship

d)

Data is skewed

13.

What is overfitting in machine learning?

a)

The model performs poorly on training data

b)

The model performs well on both training and test data

c)

The model memorizes training data but fails to generalize

d)

The model ignores outliers

14.

Which test would you use to compare means between two small samples?

a)

Z-test

b)

Chi-square test

c)

T-test

d)

ANOVA

15.

In project management, “scope creep” refers to:

a)

Adding new tasks without adjusting time or cost

b)

Reducing project size

c)

Tracking project progress

d)

Increasing budget intentionally

16.

What is the main idea of the Central Limit Theorem?

a)

Sample means are normally distributed for large samples

b)

All data follows a uniform distribution

c)

Population mean equals zero

d)

Sampling reduces errors completely

17.

How does cross-validation help in model evaluation?

a)

By training only once

b)

By dividing data into multiple subsets to assess model consistency

c)

By using external datasets

d)

By increasing overfitting

18.

When would you use an ANOVA test?

a)

Comparing proportions

b)

Comparing means across more than two groups

c)

Testing independence

d)

Calculating correlation

19.

What is a sampling distribution?

a)

The distribution of raw data

b)

The distribution of a statistic (like mean) across many samples

c)

The distribution of errors

d)

The distribution of random numbers

20.

In a confusion matrix, which metric indicates how often the model correctly predicts the positive class?

a)

Precision

b)

Recall

c)

Accuracy

d)

Specificity