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[Program 1] - Lesson 1 - Data Industry Quiz

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What should we position DA roles in today's world?

a)

Data factory: extract data for departments

b)

Reporting roles: create reports for all stakeholders & departments

c)

ML models masters

d)

Data Strategic partners

2.

What is the primary goal of the data industry?

a)

To create software applications

b)

To collect, analyze, interpret , leverage data & promote value creation from data.

c)

To design websites

d)

To manage IT infrastructure

3.

What is a key responsibility of a Data Analyst?

a)

Building data pipelines

b)

Conducting analyses and reporting insights for business growth

c)

Designing machine learning models

d)

Ensuring data privacy compliance

4.

Which role is most likely to work with machine learning algorithms?

a)

Data Engineer

b)

Data Analyst

c)

Data Scientist

d)

Data Analytics Engineer

5.

What distinguishes a Data Analytics Engineer from a Data Analyst?

a)

Focus on user experience

b)

Specialization in data pipeline design that are ready for analytics

c)

Emphasis on database administration

d)

Primary focus on market research

6.

In the data industry, what does ETL stand for?

a)

Extract, Transform, Load

b)

Evaluate, Test, Launch

c)

Engage, Train, Learn

d)

Extract, Transfer, Load

7.

Which role is typically responsible for ensuring data is accessible and usable across the organization?

a)

Data Analyst

b)

Data Engineer

c)

Data Scientist

d)

Machine Learning Engineer

8.

What type of data does a Data Scientist often work with?

a)

Structured data only

b)

Unstructured and structured data

c)

Only real-time data

d)

Historical data exclusively

9.

What is a common tool used by Data Analysts for data visualization?

a)

SQL

b)

Python

c)

Tableau

d)

Hadoop

10.

Which role collaborates closely with stakeholders to understand business needs and translate them into data solutions?

a)

Data Engineer

b)

Data Analytics Engineer

c)

Data Analyst

d)

Data Scientist

11.

What is a common programming language used for data analysis?

a)

Java

b)

Python

c)

C++

d)

Ruby

12.

Which of the following is a key component of data visualization?

a)

Data cleaning

b)

Data modeling

c)

Data storytelling

d)

Data mining

13.

What is the purpose of a data warehouse?

a)

To store raw data only

b)

To facilitate data analysis and reporting

c)

To manage real-time data processing

d)

To ensure data security

14.

What is the first step in data analytics process?

a)

Create dashboards

b)

Sharing insights

c)

Ask the analytical questions

d)

Prepare & Process data

15.

Which tool DA should focus first when prepare for the 1st job?

a)

PowerBI

b)

Tableau

c)

SQL

d)

Canva