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DataScience - 9

Total questions: 14

Worksheet time: 7mins

Name
Class
Date
1.

What is the purpose of storage management in data science?

a)

To store, organize, and retrieve data efficiently

b)

To delete all data

c)

To create graphics

d)

To encrypt passwords

2.

Which of the following is a mass storage device?

a)

RAM

b)

CPU

c)

SSD

d)

Monitor

3.

What Python library is used in the example to create a DataFrame?

a)

NumPy

b)

Matplotlib

c)

Seaborn

d)

Pandas

4.

What file format is used to save structured data in the program?

a)

.txt

b)

.csv

c)

.json

d)

.py

5.

What does the ZIP file created in the program represent?

a)

A compressed backup for storage

b)

A log file

c)

A data visualization

d)

A code file

6.

What library is used in Python to create a ZIP file?

a)

shutil

b)

os

c)

zipfile

d)

tarfile

7.

What does os.remove( ) do in the program?

a)

Compresses a file

b)

Reads a file

c)

Saves a new file

d)

Deletes the original CSV file

8.

Which of these is NOT a mass storage device?

a)

Hard Disk Drive

b)

RAM

c)

Cloud Storage

d)

Solid State Drive

9.

What is the main benefit of using a ZIP file for storage?

a)

Make code faster

b)

Increase file size

c)

Make file unreadable

d)

Reduce storage size and make transfer easier

10.

Which method is used to write files into a ZIP archive?

c)

zipf.write()

d)

zipf.compress()

11.

Where can compressed backup files be stored safely?

a)

On RAM

b)

On cloud platforms or external drives

c)

In browser cache

d)

Inside a loop

12.

Which device is fastest for reading/writing large datasets?

a)

HDD

b)

SSD

c)

CD-ROM

d)

Floppy Disk

13.

What is the typical use of a DataFrame in data science?

a)

Drawing shapes

b)

Creating ZIP files

c)

Holding and analyzing structured data

d)

Removing duplicates only

14.

Why do we delete the original file after creating a backup?

a)

To save storage space

b)

To hide data

c)

To increase performance

d)

To convert it into an image