a. read only.
B. write only.
c. read write only.
d. All of the above.
a. Data mining database servers.
B. Data warehouse database servers.
c. Data mart database servers.
d. Relational data base servers.
a. updated by end users.
B. contains numerous naming conventions and formats
c. organized around important subject areas.
d. contains only current data.
a. used to run the business in real time and is based on historical data.
B. used to run the business in real time and is based on current data.
c. used to support decision making and is based on current data.
d. used to support decision making and is based on historical data.
a. at least one data mart.
B. data that can extracted from numerous internal and external sources.
c. near real-time updates.
d. far real-time updates.
d. all of the above.
a. data stored in the various operational systems throughout the organization.
B. current data intended to be the single source for all decision support systems.
c. data stored in one operational system in the organization.
d. data that has been selected and formatted for end-user support applications.
a. data in which changes to existing records cause the previous version of the records to be eliminated.
B. data in which changes to existing records do not cause the previous version of the records to be eliminated.
c. data that are never altered or deleted once they have been added.
d. data that are never deleted once they have been added.
a. capturing all of the data contained in various operational systems.
B. capturing a subset of the data contained in various operational systems.
c. capturing all of the data contained in various decision support systems.
d. capturing a subset of the data contained in various decision support systems.
a. a process to reject data from the data warehouse and to create the necessary indexes.
B. a process to load the data in the data warehouse and to create the necessary indexes.
c. a process to upgrade the quality of data after it is moved into a data warehouse.
d. a process to upgrade the quality of data before it is moved into a data warehouse
d. a process to upgrade the quality of data before it is moved into a data warehouse.
a. a process to change data from a detailed level to a summary level.
B. a process to change data from a summary level to a detailed level.
c. joining data from one source into various sources of data.
d. separating data from one source into various sources of data.
a. Converting data from one field into multiple fields.
B. Converting data from fields into field.
c. Converting data from double fields into multiple fields.
d. Converting data from one field to one field.
a. completely demoralized.
B. partially demoralized.
c. completely normalized.
d. partially normalized.
a. To explain some observed event or condition.
B. To confirm that data exists.
c. To analyze data for expected relationships.
d. To create a new data warehouse.
B. Data Mining.
c. Analysis of large volumes of product sales data.
a. backups and recovery.
B. query optimization.
c. security management.
d. create, change, and delete information.
a. queryable change data.
B. cooperative change data.
c. logged change data.
d. snapshot change data.
c. End users.
d. Middle ware.
a. data acquisition.
B. information delivery.
c. information exchange.
a. root node.
B. decision tree.
a. relevant attributes.
B. irrelevant attributes.
c. derived attributes.
d. composite attributes.
Each set has max 25 mcqs
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