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Data Roles and Big Data Fundamentals Quiz

Total questions: 20

Worksheet time: 3mins

Name
Class
Date
1.

Siapa pemain dalam tim data yang bertugas sebagai "Defender" (menjaga infrastruktur)?

a)

Data Scientist

b)

Data Engineer

c)

Data Analyst

d)

AI Engineer

2.

Menurut aturan "The 80/20 Rule", aktivitas apa yang memakan waktu 80% (paling lama)?

a)

AI modeling

b)

Presentations

c)

Data cleaning

d)

Data collection

3.

If data is crude oil, what is the 'gasoline'?

a)

Raw data

b)

Insight

c)

Database

d)

Excel

4.

What percentage of the world's data volume is unstructured?

a)

20%

b)

50%

c)

80%

d)

95%

5.

In the 5V principle, what is the term for the speed of data growth?

a)

Volume

b)

Variety

c)

Velocity

d)

Veracity

6.

The principle 'input trash = output trash' is known as what?

a)

Data is Oil

b)

GIGO

c)

80/20 Rule

d)

Data Journey

7.

What is the first step in a Data Analytics Framework?

a)

Data cleaning

b)

Data collection

c)

Business understanding

d)

Data visualization

8.

A Data Scientist primarily focuses on which time frame?

a)

Past

b)

Present

c)

Future

d)

Vacation time

9.

Which file format is ideal for Big Data because it is columnar?

a)

Excel

b)

CSV

c)

Parquet

d)

JSON

10.

Which is an example of semi-structured data?

a)

SQL tables

b)

JSON/XML

c)

TikTok video

d)

Audio recording

11.

Which DIKW pyramid level answers the question 'Why is'?

a)

Data

b)

Information

c)

Knowledge

d)

Wisdom

12.

What is the main challenge for an AI Engineer in real industry practice?

a)

Only building models

b)

Making slide decks

c)

Building integrated systems

d)

Studying mathematics

13.

Which combination correctly represents the 5Vs of Big Data?

a)

Volume, Velocity, Variety, Veracity, Value

b)

Volume, Victory, Variety, Veracity, Value

c)

Volume, Velocity, Vision

d)

Volume, Velocity, Version

14.

What is the primary output of a Data Engineer?

a)

Dashboards

b)

Predictive models

c)

Pipelines and warehouses

d)

Reports

15.

What is the main goal of Credit Scoring AI in fintech?

a)

Calculating discounts

b)

Predicting default risk

c)

Finding a match

d)

Creating content

16.

A Data Analyst focuses analysis on which time frame?

a)

Future

b)

Past and present

c)

Only the past

d)

Prehistoric times

17.

What does 'Veracity' mean in the 5V concept of Big Data?

a)

Speed of data

b)

Diversity of data

c)

Accuracy of data

d)

Economic value

18.

Why is a Monthly Bill of -$19.99 considered an error?

a)

Too cheap

b)

Invalid (negative)

c)

It is colored red

d)

Typo

19.

What is the industry-standard framework for the data mining process?

a)

National privacy law

b)

GDPR

c)

CRISP-DM

d)

Waterfall

20.

What does the principle GIGO stand for?

a)

Good In, Good Out

b)

Garbage In, Garbage Out

c)

Go In, Go Out

d)

Great Input