Deck 13: Business Intelligence and Data Warehouses

Question 1

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

Answer 1

False

Question 2

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

Answer 2

True

Question 3

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

Answer 3

True

Question 4

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

Question 5

A data warehouse designer must define common business dimensions that will be used by a data analyst to narrow a search,group information,or describe attributes.

Question 6

To provide better performance,some OLAP systems merge data warehouse and data mart approaches by storing small extracts of the data warehouse at end-user workstations.

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

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.

Question 9

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

Question 10

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 11

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

Question 12

Operational data and decision support data serve the same purpose.

Question 13

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

Question 14

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

Question 15

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

Question 16

Multidimensional data analysis techniques include advanced computational functions.

Question 17

Relational data warehouses use multidimensional data schema support to handle multidimensional data.

Question 18

Business intelligence (BI)architecture is composed of data,people,processes,technology,and the management of such components.

Question 19

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

Question 20

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

Question 21

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 22

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

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

Question 23

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 24

A 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 25

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 26

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 27

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

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

Question 28

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

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

Question 29

Fact and dimension tables are related by keys.

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

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

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 33

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

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

Question 34

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 35

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

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

Question 36

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 37

Tools focus on the strategic and tactical use of information.

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

Question 38

The CUBE extension enable you to get a grand total for each column listed in the expression

Question 39

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 40

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

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

Question 41

A 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 42

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 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

_____ 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 45

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

Question 46

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 47

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

Question 48

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 49

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

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

Question 50

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

Question 51

___________ is a method or process of government.

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

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

Question 54

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

Question 55

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 56

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 57

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

Question 58

_____ 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 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

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

Question 61

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

Question 62

OLAP systems are designed to use both operational and data _____ data.

Question 63

_____ online analytical processing provides OLAP functionality by using relational databases and familiar relational query tools to store and analyze multidimensional data.

Question 64

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

Question 65

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

Question 66

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

Question 67

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

Question 68

The hierarchy provides the capability to perform drill-down and roll-up searches in a data warehouse.

Question 69

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

Question 70

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

Question 71

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

Question 72

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

Question 73

_____ 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 74

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

Question 75

Describe the use of SQL in relation to ROLAP.