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Multidimensional OLAP Cubes for Business Intelligence

Total questions: 14

Worksheet time: 9mins

Name
Class
Date
1.

What does OLAP stand for?

a)

Online Latency And Process

b)

Online Analytical Processing

c)

Ontario Lawyers' Assistance Program

d)

Online Asynchronous Processing

2.

Who's Edgar Codd?

a)

A database legend

b)

A character from Tintin

c)

A corrupted computer scientist

d)

A former student from Centrale Paris

e)

The inventor of the term OLAP

3.

What does OLTP stand for?

a)

Over-speed Transparent Processing

b)

Orthotopic Liver Transplantation

c)

Online Transaction Program

d)

Online Transactional Processing

4.

To record a transaction I should use...

a)

an OLTP database

b)

an OLAP database

c)

either OLAP or OLTP database

d)

a piece of paper

5.

What are the OLAP challenges?

a)

Interactive report

b)

Massive amount of data

c)

Complex measures

d)

Curse of dimensionality

6.

What is the "curse of dimensionality" for OLAP database?

a)

Some witchcraft

b)

More columns means a lot more possible aggregations

c)

More rows means an increase of computational time

d)

Non linear aggregative measures runs in exponential time

7.

Name some OLAP optimizations

a)

Row store

b)

Column store

c)

SSD Computing

d)

Bitmap Index

e)

Dictionary Encoding

8.

What is Moore's law?

a)

The number of transistors on a microchip doubles about every two years

b)

The CPU performance mark doubles about every two years

c)

The RAM cost increases about every two years

d)

The RAM cost decreases about every two years

9.

How much did it cost in 1993 to buy 1GB of RAM?

a)

$1.000.000

b)

$100.000

c)

$10.000

d)

$1.000

e)

$100

10.

RAM throughput is at least ______ times faster than SSD SATA

a)

2

b)

5

c)

10

d)

100

11.

Bitmap index...

a)

encodes each values into binary format

b)

is used to speed up calculations

c)

has been created by Edgar Codd

d)

is used for OLTP databases

12.

Multidimensional cubes are used to...

a)

summarize data

b)

detect outliers

c)

make decisions

d)

drill down on data

13.

What kind of output I can get with a cube?

a)

Pivot Table

b)

Slides

c)

Image

d)

Tableau Croise Dynamique

14.

Which one of those examples are easily done with cubes?

a)

Percent Of Parent

b)

Totals and Subtotals

c)

Sum and Average

d)

Marginal Calculation