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PRE/POST TES BIG DATA ANALYTIC

Total questions: 10

Worksheet time: 50mins

Name
Class
Date
1.

Numerical information that tell about “how often, how many, how often” in database called ...

a)

Quantitative Data

b)

Qualitative Data

c)

Data Numeric

d)

Data Histogram

2.

Data gives impact to business, the following statements are telling you the positive impact to business except ...

a)

Create more problem

b)

Making better decision

c)

Improving process

d)

Understanding Customer

3.

Process of exploring data in order to extract the meaningful insight which can be use to better understanding and improve the business are known as

a)

Data Analytics

b)

Big Data

c)

Data Mining

d)

Data Processing

4.

The right 5 main steps of Data Analytic below is ...

a)

Collecting - Cleaning - Processing - Analyzing - Visualizing

b)

Cleaning - Collecting - Processing - Visualizing - Analyzing

c)

Cleaning - Processing - Collecting - Analyzing - Visualizing

d)

Collecting - Processing - Analyzing - Visualizing - Cleaning

5.

The most advanced data analytics in Data Analytic Hierarchy which tell us "What best course of action?" is called ...

a)

Prescriptive

b)

Descriptive

c)

Diagnose

d)

Predictive

6.

Datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze is known as ...

a)

Big Data

b)

Great Data

c)

Scoup of Data

d)

Data Integration

7.

In options below which's not include as 5V in Big Data is ...

a)

Volume

b)

Variety

c)

Veracity

d)

Velvety

8.

the speed at which data is entered into a system and must be processed reffers to ...

a)

Volume

b)

Velocity

c)

Velvety

d)

Variaty

9.

Advanced computation skill that is required as Data Analyst are the following options, except ...

a)

Microsoft Excel

b)

SQL

c)

Statistical Language (R & Phyton)

d)

Machine Learning

10.

Future challenge in Big Data Analaytic that we have to face for several years ahead is ....

a)

Machine learning will keep same year by year

b)

There is no change of Data scientists and CDOs (Chief Data Officer) in each company

c)

Big Data Analytic promises to change the way businesses operate

d)

Data volumes will not continue to increase and migrate to the cloud