Deck 13: Business Intelligence and Data Warehouses

Question 1

Decision support datais a snapshot of the operational data at a given point in time.

Answer 1

True

Question 2

Data warehouse data are organized and summarized by table, such as CUSTOMER and ADDRESS.

Answer 2

False

Question 3

By default, the fact table's primary key is always formed by combining the superkeys pointing to the dimension tables to which they are related.

Answer 3

False

Question 4

Normalizing fact tables improves data access performance and saves data storage space.

Question 5

The data warehouse development life cycle differs from classical systems development.

Question 6

Advanced OLAP feature become more useful when access to them is kept simple.

Question 7

The ROLLUP extension is used with the GROUP BY clause to generate aggregates by the listed columns, including the last one.

Question 8

Operational data and decision support data serve the same purpose.

Question 9

A data warehouse designer must define common business dimensions that will be used by a data analyst to expand a search.

Question 10

Multidimensional data analysis techniques include advanced computational functions.

Question 11

Business intelligence is a framework that allows a business to transform data into information, information into knowledge, and knowledge into wisdom.

Question 12

Master data management's main goal is to provide a partial and segmented definition of all data within an organization.

Question 13

Queries against operational data typically are broad in scope and high in complexity.

Question 14

The CUBE extension enables you to get a subtotal for each column listed in the expression, in addition to a grand total for the last column listed.

Question 15

Relational data warehouses use the star schema design technique to handle multidimensional data.

Question 16

ROLAP and MOLAP vendors are working toward the integration of their respective solutions within a unified decision support framework.

Question 17

Business intelligence (BI) architecture is composed of data, people, processes, and technology working together to facilitate and enhance a business's management and governance.

Question 18

Periodicity, usually expressed as current year only, previous years, or all years, provides information about the time span of the data stored in a table.

Question 19

A star schema is designed to optimize data query operations rather than data update operations.

Question 20

A data store is used by data analysts to create queries that access the database.

Question 21

_____ provide a unified, single point of entry for information distribution.

A) Decision support systems
B) Portals
C) Data warehouses
D) Dashboards

Question 22

The attribute hierarchy provides a top-down data organization that is used for two main purposes: _____ and drill-down/roll-up data analysis.

A) decomposition
B) de-normalization
C) normalization
D) aggregation

Question 23

The _____ schema must support complex (non-normalized) data representations.

A) snowflake
B) online analytical processing
C) decision support database
D) multidimensional database

Question 24

Operational data are commonly stored in many tables, and the stored data represents information about a given _____ only.

A) transaction
B) database
C) table
D) concept

Question 25

A(n) _____ is optimized for decision support and is generally represented by a data warehouse or a data mart.

A) data store
B) ETL tool
C) data visualization
D) data analysis tool

Question 26

_____ can serve as a test vehicle for companies exploring the potential benefits of data warehouses.

A) Data networks
B) Data marts
C) Data cubes
D) OLAPs

Question 27

_____ tools focus on the strategic and tactical use of information.

A) Business
B) Relational database management
C) Business intelligence
D) Networking

Question 28

The basic star schema has four components: facts, _____, attributes, and attribute hierarchies.

A) keys
B) relationships
C) cubes
D) dimensions

Question 29

From a data analyst's point of view, decision support data differ from operational data in three main areas: time span, granularity, and _____.

A) usability
B) dimensionality
C) transaction processing
D) sparsity

Question 30

In a star schema, attributes are often used to search, filter, or classify _____.

A) tables
B) sales
C) facts
D) dimensions

Question 31

In a typical star schema, each dimension record is related to thousands of _____ records.

A) attribute
B) fact
C) key
D) primary

Question 32

_____ are in charge of presenting data to the end user in a variety of ways.

A) Data stores
B) ETL tools
C) Data visualization tools
D) Data analysis tools

Question 33

In business intelligence framework, data are captured from a production system and placed in _____ on a near real-time basis.

A) decision support system
B) portal
C) data warehouse
D) dashboard

Question 34

In star schema representation, a fact table is related to each dimension table in a _____ relationship.

A) many-to-one (M:1)
B) many-to-many (M:M)
C) one-to many (1:M)
D) one-to-one (1:1)

Question 35

Bill Inmon and Chuck Kelley created a set of 12 rules to define a(n) _____.

A) data warehouse
B) multidimensional cube
C) OLAP tool
D) star schema

Question 36

Data _____ implies that all business entities, data elements, data characteristics, and business metrics are described in the same way throughout the enterprise.

A) visualization
B) analytics
C) mining
D) integration

Question 37

Fact and dimension tables are related by _____ keys.

A) shared
B) primary
C) foreign
D) linked

Question 38

Which of the following is a personal analytics vendor for BI applications?

A) IBM
B) Kognitio
C) Netezza
D) MicroStrategy

Question 39

A _____ schema is a type of star schema in which dimension tables can have their own dimension tables.

A) snowflake
B) starflake
C) dimension
D) matrix

Question 40

Computed or derived facts, at run time, are sometimes called _____ to differentiate them from stored facts.

A) schemas
B) attributes
C) metrics
D) dimensions

Question 41

A(n)_____ is a read-only database optimized for data analysis and query processing.

Question 42

_____ is a term used to describe a comprehensive, cohesive, and integrated set of tools and processes used to capture, collect, integrate, store, and analyze data with the purpose of generating and presenting information used to support business decision making.

Question 43

The reliance on _____ as the design methodology for relational databases is seen as a stumbling block to its use in OLAP systems.

A) normalization
B) denormalization
C) star schema
D) multidimensional schema

Question 44

An multidimensional database management systems (MDBMS) uses proprietary techniques to store data in _____ n-dimensional arrays.

A) table-like
B) matrix-like
C) network-like
D) cube-like

Question 45

Decision support data tends to be non-normalized, _____, and pre-aggregated.

A) unique
B) duplicated
C) optimized
D) sorted

Question 46

_____ splits a table into subsets of rows or columns and places the subsets close to the client computer to improve data access time.

A) Normalization
B) Meta modeling
C) Replication
D) Partitioning

Question 47

Data visualization has its roots in the _____ sciences, which focus on how the human brain receives, interprets, organizes, and processes information.

A) cognitive
B) developmental
C) social
D) health

Question 48

_____ functionality ranges from simple data gathering and transformation to very complex data analysis and presentation.

Question 49

______ is a method or process of government.

Question 50

Data _____ tools are tools that provide advanced statistical analysis to uncover problems and opportunities hidden within business data.

Question 51

_____ is a collection of concepts, techniques, and processes for the proper identification, definition, and management of data elements within an organization.

Question 52

To support a(n) _____ adequately, the DBMS might be required to support advanced storage technologies, and even more importantly, to support multiple-processor technologies, such as a symmetric multiprocessor (SMP) or a massively parallel processor (MPP).

Question 53

Conceptually, MDBMS end users visualize the stored data as a three-dimensional cube known as a _____.

A) multi-cube
B) database cube
C) data cube
D) hyper cube

Question 54

_____ extends SQL so that it can differentiate between access requirements for data warehouse data and operational data.

A) ROLAP
B) OLAP
C) DBMS
D) BI

Question 55

_____ use web-based technologies to present key business performance indicators or information in a single integrated view, generally using graphics in a clear, concise, and easy to understand manner.

Question 56

_____ means to decompose data into more atomic components or data at lower levels of aggregation.

Question 57

A _____ is a dynamic table that not only contains the SQL query command to generate the rows, but also stores the actual rows.

A) SQL view
B) materialized view
C) star schema
D) data cube

Question 58

Which type of data describes numeric facts or measuresthat can becan be counted, ordered, and aggregated?

A) qualitative
B) ordinal
C) nominal
D) quantitative

Question 59

A _____ index is based on 0 and 1 bits to represent a given condition.

A) logical
B) multidimensional
C) normal
D) bitmapped

Question 60

_____ are quantifiable measurements (numeric or scale based) that assess a company's effectiveness or success in reaching its strategic and operational goals.

Question 61

A data _____ is a centralized, consolidated database that integrates data derived from the entire organization and from multiple sources with diverse formats.

Question 62

A data _____ is a small, single-subject data warehouse subset that provides decision support to a small group of people.

Question 63

_____ are numeric measurements (values) that represent a specific business aspect or activity.

Question 64

To deliver efficient decision support, OLAP tools must have advanced data _____ features.

Question 65

What is the difference between decision support data and operational data from the point of view of data analyst?

Question 66

Describe the use of SQL in relation to ROLAP.

Question 67

In multidimensional terms, the ability to focus on slices of the cube to perform a more detailed analysis is known as _____.

Question 68

The most distinctive characteristic of modern OLAP tools is their capacity for _____ analysis.

Question 69

_____ is a measurement of the density of the data held in the data cube and is computed by dividing the total number of actual values in the cube by the total number of cells in the cube.

Question 70

What is data visualization? Name different techniques of data visualization.

Question 71

What is the ROLLUP extension to the GROUP BY clause? Provide the syntax for this extension.

Question 72

_____ are qualifying characteristics that provide additional perspectives to a given fact.

Question 73

_____ makes a copy of a table and places it in a different location to improve access time.

Question 74

The _____ hierarchy providesa top-down data organization that is used for two main purposes: aggregation and drill-down/roll-up data analysis.