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Data and Data Science / BIG DATA IN BUSINESS

Total questions: 20

Worksheet time: 12mins

Name
Class
Date
1.

What is data?

a)

Unprocessed infomation

b)

Set of values

c)

Ideas or objects

d)

All of the choices

2.

What are the 3 main concepts of Data Science?

a)

Data, Science, and Knowledge

b)

Mathematics, Computer Science, and Domain Expertise

c)

Machine Learning, Data Processing, and Statistical Research

3.

What is Data Science comprised of?

a)

Predictive

b)

Machine Learning

c)

Business Intelligence

d)

Personal Opinion

4.

The process of evaluating data through analytical and statistical tools

a)

Data Mining

b)

Data Analysis

c)

Data Exploration

d)

Data Visualization

5.

Data Science is

a)

The science of creating data.

b)

It is a branch of Social Studies.

c)

Multidisciplinary study of data collections for analysis, prediction, learning and prevention.

d)

It is a specialized field of study under Artificlal Intelligence

6.

Steps in Data Science

a)

Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

b)

Data Acquisition -> Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization

c)

Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization -> Data Acquisition

d)

Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

7.

Followings are domain knowledge required in Data Science

a)

Matematika

b)

Business

c)

Statistika

d)

Programming

8.

CRISP-DM stands for.....

a)

Cross Industry Standard Process for Data Mining

b)

Cross Industry Super Process for Data Mining

c)

Cross Industry Standard Program for Data Mining

d)

Cross Industry Standard Processing for Data Mining

9.

Following are steps in CRISP-DM framework in data analysis...

a)

Business Understanding

b)

Data Understanding

c)

Problem Understanding

d)

Evaluation

10.

Cleansing Data is a phase in Data Understanding.

a)

Betul

b)

Salah

11.

I use rulers, scales and calculators to make these observations.

a)

qualitative data

b)

quantitative data

12.

The flower has 25 petals.

a)

qualitative data

b)

quantitative data

13.
Your teacher has asked you to explain the difference between quantitative and qualitative observations. Which statement is correct?
a)
Quantitative observations use numbers, qualitative uses the senses.
b)
Quantitative observations use the senses, qualitative uses numbers.
c)
Quantitative observations use measurement, qualitative uses numbers.
d)
Quantitative observations use colors, qualitative uses the senses.
14.

What is the SECOND STEP of CRISP-DM model?

a)

Business Understanding

b)

Data Understanding

c)

Data Prep

d)

Modelling

15.

Type of versatile generalist who use computer science on processing large datasets. Focus on coding, cleaning data sets. This is a typically a job definition of ....

a)

Data Scientist

b)

Data Engineers

c)

Data Analysts

d)

All above are doing that

16.

1 Billion Gigabyte called...

a)

Exabyte

b)

Petabyte

c)

Zetabyte

d)

Terabyte

17.

What is the most time consuming steps in CRISP-DM framework?

a)

Business Understanding

b)

Data Preparation

c)

Data Understanding

d)

Modelling

18.

Photographs, Audio Recording, Diary accounts, Transcriptions are samples of ....

a)

Qualitative Data

b)

Quantitative Data

19.

Applying SQL, prepare data, cleansing data are part of this domain as a Data Scientist..

a)

Computer Science

b)

Domain Expertise

c)

Statistic and Maths

d)

All of them

20.

Email and Web pages are examples of ...

a)

Structured Data

b)

Semi-structured Data

c)

Unstructured Data