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DWDM-2

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

 A data warehouse is which of the following?

a)

Can be updated by end users.

b)

Contains numerous naming conventions and formats.

c)

Organized around important subject areas.

d)

Contains only current data.

2.

 ________ is a collection of data marts representing historical data from different operations in the company.

a)

data warehouse

b)

data mining 

c)

OLAP

d)

None of these

3.

Data can be updated in _____environment.

a)

data mart

b)

data mining

c)

operational

d)

informational

4.

 ______________ is data about data.

a)

Metadata

b)

Microdata

c)

Minidata

d)

Multidata

5.

The star schema is composed of __________ fact table.

a)

1

b)

2

c)

3

d)

Many

6.

 ___________ is a good alternative to the star schema.

a)

Star schema.

b)

Snowflake schema.

c)

Fact constellation.

d)

Star-snowflake schema.

7.

Fact tables are ___________.

a)

completely demoralized

b)

partially demoralized.

c)

completely normalized.

d)

partially normalized.

8.

Which of the following is not true for data warehouse?

a)

Data warehouse contains subject oriented data

b)

Data warehouse contains only short duration recent data.

c)

Data warehouse provides analytical information for decision making process.

d)

Data warehouse is different from traditional database systems.

9.

Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.

a)

Unusual

b)

Essential

c)

Optional

d)

None of the these

10.

ROLAP refers to ............OLAP.

a)

Roll

b)

Rapid

c)

Running

d)

Relational

11.

The OLAP operations are___

a)

Roll up

b)

Roll down

c)

Slice and Dice

d)

All of these

12.

Which of the following is the numeric measurements or values that represents a specific business aspects or activity:

a)

dimensions

b)

schemas

c)

facts

d)

tables

13.

Getting data from multiple, heterogeneous, and external sources is known as ____

a)

Data mining

b)

Data transformation

c)

Data extraction

d)

Load

14.

In which of the following, a fact table in the centre is directly linked with dimension table?

a)

star schema 

b)

snowflake schema

c)

fact constellation schema 

d)

relational schema

15.

 Three Categories of Data Cube Measures are_____

a)

Distributive

b)

Algebraic

c)

Holistic

d)

All the above

16.

Which operation allows an analyst to rotate the cube in space to see its various faces?

a)

Pivot

b)

Dice

c)

Roll-up

d)

Slice

17.

Three Data Warehouse Models are ___ ,___ ,___

a)

Operational Data,

Informational data , Metadata

b)

Enterprise warehouse,

Informational data , Metadata

c)

Enterprise warehouse,

Data Mart,

Virtual warehouse

d)

None of these

18.

Data Cube consists of 

a)

Dimensional data

b)

Multidimensional Data

c)

No Dimensional Data

d)

Procedural Data

19.

OLTP stands for

a)

Online Time processing

b)

Online Analytical Processing

c)

Online Transfer Processing

d)

None of these

20.

______ cubes are ideal for slicing and dicing data and can perform complex calculations.

a)

ROLAP

b)

MOLAP

c)

HOLAP

d)

WOLAP