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Business Analytics JIM(20202-2022)

Total questions: 15

Worksheet time: 3mins

Name
Class
Date
1.

From the business perspective, what is the most important characteristic of Big Data?

a)

Volume

b)

Veracity

c)

Velocity

d)

Variety

e)

Value

2.

Whether data can be trusted is an important issue of big data. What property of big data best describe the issue?

a)

Volume

b)

Veracity

c)

Value

d)

Variety

e)

Velocity

3.

The technologies for gathering, storing, analyzing, and providing access to data to help make better business decisions refers to ....

a)

Business Intelligence

b)

Data Warehousing

c)

Cloud Computing

d)

Business Analytics

e)

Internet of Things

4.

The scientific process of transforming data into insights for the purpose of making better decisions refers to ....

a)

Business Intelligence

b)

Data Warehousing

c)

Cloud Computing

d)

Business Analytics

e)

Internet of Things

5.

What is the main task of a data engineer? *you can pick more than one option.

a)

Data Collection & Storage

b)

Data Exploration & Visualization

c)

Data Preparation

d)

Data Experimentation & Prediction

6.

What is the least likely task of a data scientist? *you can pick more than one option.

a)

Data Collection & Storage

b)

Exploration & Visualization

c)

Data Preparation

d)

Experimentation & Prediction

7.

What invention marked the "Industry 4.0." era.

a)

Steam Engine

b)

Electricity

c)

ICT and Electronics

d)

AI, Internet of Things, Big Data

e)

Microcontroler

8.

Creating a model which can predict the user's future intention can be considered as an example of?

a)

Descriptive Analytics

b)

Predictive Analytics

c)

Prescriptive Analytics

d)

Diagnostic Analytics

9.

The energy monitoring system that is presented in the class is an example of *you can pick more than one option

a)

Descriptive Analytics

b)

Diagnostics Analytics

c)

Predictive Analytics

d)

Prescriptive Analytics

10.

In the class, we learn an example of simulation as example of ...

a)

Descriptive Analytics

b)

Diagnostics Analytics

c)

Predictive Analytics

d)

Prescriptive Analytics

11.

It is an analytics that uses past data to determine the impact of one variable on another.

a)

Business Analytics

b)

Descriptive Analytics

c)

Predictive Analytics

d)

Prescriptive Analytics

12.

Any set of data that is too large or too complex to be handled by standard data-processing techniques and typical desktop software.

a)

Dashboard

b)

Data Mining

c)

Optimization

d)

Big Data

13.

A type of decision that is concerned with the overall direction of the organization.

a)

Strategic Decision

b)

Tactical Decision

c)

Operational Decision

d)

Decision Analysis

14.

The 4 V's of Big Data are:

a)

Volume, Velocity, Varsity, Veracity

b)

Volume, Veracity, Visionary, Variety

c)

Variety, Velocity, Vision, Volume

d)

Variety, Velocity, Volume, Veracity

15.

It is a data-driven decision making approach.

a)

Business Analytics

b)

Descriptive Analytics

c)

Predictive Analytics

d)

Prescriptive Analytics