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In a relational database, complex groupings of data must be streamlined to eliminate awkward many-to-many relationships.

A) True
B) False

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A field identified in a table as holding the unique identifier of the table's records is called the


A) primary key.
B) key field.
C) primary field.
D) unique ID.

E) A) and B)
F) None of the above

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The tool that enables users to view the same data in different ways using multiple dimensions is


A) predictive analysis.
B) SQL.
C) OLAP.
D) data mining.

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

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The technique of using data mining, historical data, and assumptions about future conditions is called ________.

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predictive...

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In a relational database, a record is referred to in technical terms as a(n)


A) tuple.
B) row.
C) entity.
D) field.

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

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The confusion created by ________ makes it difficult for companies to create customer relationship management, supply chain management, or enterprise systems that integrate data from different sources.


A) batch processing
B) data redundancy
C) data independence
D) online processing

E) B) and C)
F) None of the above

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Data mining is a tool for allowing users to


A) quickly compare transaction data gathered over many years.
B) find hidden relationships in data.
C) obtain online answers to ad hoc questions in a rapid amount of time.
D) summarize massive amounts of data into much smaller, traditional reports.

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

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In a relational database, the three basic operations used to develop useful sets of data are


A) select, project, and where.
B) select, join, and where.
C) select, project, and join.
D) select, from, and join.

E) None of the above
F) A) and B)

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You work for an national car rental agency and want to determine what characteristics are shared among your most loyal customers. To do this, you will want to use data mining software that is capable of


A) identifying associations.
B) identifying clusters.
C) identifying sequences.
D) classification.

E) B) and D)
F) None of the above

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In ________, a data mining tool discovers different groupings within data, such as finding affinity groups for bank cards.

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Data cleansing is the same process as data scrubbing.

A) True
B) False

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OODBMS are slower than relational DBMS.

A) True
B) False

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A characteristic or quality describing an entity is called a(n)


A) field.
B) tuple.
C) key field.
D) attribute.

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

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A DBMS makes the


A) physical database available for different logical views.
B) logical database available for different analytical views.
C) physical database available for different analytical views.
D) logical database available for different physical views.

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

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A data mart usually can be constructed more rapidly and at lower cost than a data warehouse because


A) a data mart typically focuses on a single subject area or line of business.
B) all the information is historical.
C) a data mart uses a Web interface.
D) all of the information belongs to a single company.

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

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Data ________ describes a situation in which the same attribute of a data entity may have different values.

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Which of the following best illustrates the relationship between entities and attributes?


A) the entity CUSTOMER with the attribute PRODUCT
B) the entity CUSTOMER with the attribute PURCHASE
C) the entity PRODUCT with the attribute PURCHASE
D) the entity PRODUCT with the attribute CUSTOMER

E) C) and D)
F) None of the above

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The special organizational function whose responsibilities include the technical and operational aspects of managing data, including physical database design and maintenance, is called


A) data administration.
B) database administration.
C) information policy administration.
D) data auditing.

E) None of the above
F) A) and B)

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A data warehouse is composed of


A) historical data from legacy systems.
B) current data.
C) internal and external data sources.
D) historic and current internal data.

E) None of the above
F) B) and D)

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The organization's rules for sharing, disseminating, acquiring, standardizing, classifying, and inventorying information is called a(n)


A) information policy.
B) data definition file.
C) data quality audit.
D) data governance policy.

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

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