Data Warehouse solved MCQs

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1. The data Warehouse is__________.

a. read only.

B. write only.

c. read write only.

d. none.

2. The important aspect of the data warehouse environment is that data found within the data warehouse is___________.

a. subject-oriented.

B. time-variant.

c. integrated.

d. All of the above.

3. __________ is the heart of the warehouse.

a. Data mining database servers.

B. Data warehouse database servers.

c. Data mart database servers.

d. Relational data base servers.

4. The biggest drawback of the level indicator in the classic star-schema is that itlimits_________.

a. quantify.

B. qualify.

c. flexibility.

d. ability.

5. A data warehouse is _____________.

a. updated by end users.

B. contains numerous naming conventions and formats

c. organized around important subject areas.

d. contains only current data.

6. An operational system is _____________.

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.

7. The generic two-level data warehouse architecture includes __________.

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.

8. The active data warehouse architecture includes __________

a. at least one data mart.

B. data that can extracted from numerous internal and external sources.

c. near real-time updates.

d. all of the above.

9. Reconciled data is ___________.

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.

10. Transient data is _____________.

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.

11. The extract process is ______.

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.

12. Data scrubbing is _____________.

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

13. The load and index is ______________.

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.

14. Data transformation includes __________.

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.

15. ____________ is called a multifield transformation.

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.

16. The type of relationship in star schema is __________________.

a. many-to-many.

B. one-to-one.

c. one-to-many.

d. many-to-one.

17. Fact tables are ___________.

a. completely demoralized.

B. partially demoralized.

c. completely normalized.

d. partially normalized.

18. _______________ is the goal of data mining.

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.

19. Business Intelligence and data warehousing is used for ________.

a. Forecasting.

B. Data Mining.

c. Analysis of large volumes of product sales data.

d. All of the above.

20. The data administration subsystem helps you perform all of the following,except__________.

a. backups and recovery.

B. query optimization.

c. security management.

d. create, change, and delete information.

21. The most common source of change data in refreshing a data warehouse is _______.

a. queryable change data.

B. cooperative change data.

c. logged change data.

d. snapshot change data.

22. ________ are responsible for running queries and reports against data warehousetables.

a. Hardware.

B. Software.

c. End users.

d. Middle ware.

23. Query tool is meant for __________.

a. data acquisition.

B. information delivery.

c. information exchange.

d. communication.

24. Classification rules are extracted from _____________.

a. root node.

B. decision tree.

c. siblings.

d. branches.

25. Dimensionality reduction reduces the data set size by removing ____________.

a. relevant attributes.

B. irrelevant attributes.

c. derived attributes.

d. composite attributes.

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