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


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

E) A) and C)
F) A) and D)

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

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

A) True
B) False

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

A) True
B) False

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


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

E) B) and D)
F) A) and B)

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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

E) B) and C)
F) C) and D)

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

A) True
B) False

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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.

A) True
B) False

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

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BI
busines...

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


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

E) All of the above
F) B) and C)

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Business intelligence tools use the data warehouse data as the raw materials for data analytics to generate business knowledge.

A) True
B) False

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


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

E) A) and B)
F) B) and C)

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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

E) B) and C)
F) A) and C)

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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

E) A) and B)
F) All of the above

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


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

E) A) and B)
F) B) and D)

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

A) True
B) False

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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

E) B) and C)
F) All of the above

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

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

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


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

E) A) and B)
F) All of the above

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