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1.BI is a framework that allows a business to transform data into information, information into knowledge, and knowledge into wisdom.
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2.Monitoring results to evaluate outcomes of the business decisions is outside the scope of BI.
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3.The BI architecture is composed of data, people, processes, technology, and the management of such components.
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4.A data store is used by the data analyst to create the queries that access the database.
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5.MDM’s main goal is to provide a partial and segmented definition of all data within an organization.
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6.SAP is a portal vendor.
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7. To tie a KPI to the strategic master plan of an organization, a KPI will be compared to a desired goal within a specific time frame.
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- True
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8.Operational data and decision support data serve the same purpose.
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- True
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9.Decision support data are a snapshot of the operational data at a given point in time
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- True
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10.Queries against operational data typically are broad in scope and high in complexity.
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- True
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11.The decision support database query optimizer must be enhanced to support non-normalized structures.
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- True
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12.Data warehouse data are organized and summarized by table, such as CUSTOMER and ADDRESS.
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13.Once data enter the data warehouse, they are never removed.
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14.Creating a data warehouse is a simple exercise that takes little time, money, or effort.
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- True
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15.The data warehouse development life cycle differs from classical systems development.
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- True
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16.Facts can be computed or derived at run time.
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- True
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17.The data warehouse designer must define common business dimensions that will be used by the data analyst to narrow a search, group information, or describe attributes.
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- True
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18.Data warehouses usually have one fact table
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19.Normalizing fact tables improves data access performance and saves data storage space.
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- True
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20.Periodicity, usually expressed as current year only, previous years, or all years, provides information about the time span of the data stored in the table.
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- True
- False
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21.It is a relatively easy task to provide a precise list of characteristics of data-mining tools.
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- True
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22.In the prognosis phase, the data-mining findings are used to predict future behavior and forecast business outcomes
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- True
- False
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23.Multidimensional data analysis techniques include advanced computational functions.
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- True
- False
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24.The mainframe environment enables an OLAP system to be divided into several components that define its architecture.
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25.In most implementations, the data warehouse and OLAP are stand-alone, independent environments.
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- True
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26.To provide better performance, some OLAP systems merge the data warehouse and data mart approaches by storing small extracts of the data warehouse at end-user workstations.
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- True
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27.The star schema is designed to optimize data query operations rather than data update operations.
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- True
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28.MOLAP is a logical choice for companies that already use relational databases for their operational data.
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- True
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29.Because a data cube’s dimensions are predefined, all cells are populated.
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- True
- False
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30.ROLAP and MOLAP vendors are working toward the integration of their respective solutions within a unified decision support framework.
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- True
- False
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