Chapter 13 Flashcards

1
Q

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

A

True

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2
Q

True/False: Business intelligence (BI) architecture is composed of data, people, processes, and technology working
together to facilitate and enhance a business’s management and governance

A

True

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3
Q

True/False: A data store is used by data analysts to create queries that access the database

A

True

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4
Q

True/False: Master data management’s main goal is to provide a partial and segmented definition of all data within an organization.

A

False

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5
Q

True/False: Operational data and decision support data serve the same purpose.

A

False

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6
Q

True/False: Decision support data is a snapshot of the operational data at a given point in time

A

True

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7
Q

True/False: Queries against operational data typically are broad in scope and high in complexity.

A

False

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8
Q

True/False: Data warehouse data are organized and summarized by table, such as CUSTOMER and ADDRESS.

A

False

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9
Q

True/False: Relational data warehouses use the star schema design technique to handle multidimensional data.

A

True

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10
Q

True/False: The data warehouse development life cycle differs from classical systems development.

A

True

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11
Q

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

A

False

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12
Q

True/False: By default, the fact table’s primary key is always formed by combining the super keys pointing to the dimension tables to which they are related.

A

False

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13
Q

True/False: Normalizing fact tables improves data access performance and saves data storage space.

A

False

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14
Q

True/False: 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

A

True

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15
Q

True/False: Multidimensional data analysis techniques include advanced computational functions

A

True

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16
Q

True/False: Advanced OLAP feature become more useful when access to them is kept simple.

A

True

17
Q

True/False: A star schema is designed to optimize data query operations rather than data update operations.

A

True

18
Q

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

A

True

19
Q

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

A

False

20
Q

True/False: 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.

A

True