Data Warehousing MCQs Quiz Multiple Choice Questions & Answers

1. Bill Inmon has estimated___________of the time required to build a data warehouse, is consumed inthe conversion process.

1. 10 percent.
2. 20 percent.
3. 40 percent
4. 80 percent

2. The time horizon in Data warehouse is usually

1. 1-2 years.
2. 3-4years.
3. 5-6 years.
4. 5-10 years.

3. The time horizon in operational environment is

1. 30-60 days.
2. 60-90 days.
3. 90-120 days.
4. 120-150 days.

4. Data transformation includes

1. a process to change data from a detailed level to a summary level.
2. a process to change data from a summary level to a detailed level.
3. joining data from one source into various sources of data.
4. separating data from one source into various sources of data.

5. Data scrubbing is

1. a process to reject data from the data warehouse and to create the necessary indexes.
2. a process to load the data in the data warehouse and tocreate the necessary indexes.
3. a process to upgrade the quality of data after it is moved into a data warehouse.
4. a process to upgrade the quality of data before it is movedinto a data warehouse

6. The load and index is

1. a process to reject data from the data warehouse and to create the necessary indexes.
2. a process to load the data in the data warehouse and to create the necessary indexes.
3. a process to upgrade the quality of data after it is moved into a data warehouse.
4. a process to upgrade the quality of data before it is moved into a data warehouse.

7. The modern CASE tools belong to _______ category.

1. analysis.
2. Development
3. Coding
4. Delivery

8. ________________ is held in the catalog of the warehouse database system.

1. Application level metadata.
2. Algorithmic level metadata.
3. Departmental level metadata.
4. Corewarehouse metadata.

9. _________maps the core warehouse metadata to business concepts, familiar and useful to end users.

1. Application level metadata.
2. User level metadata.
3. Enduser level metadata.
4. Core level metadata.

10. The generic two-level data warehouse architecture includes

1. at least one data mart.
2. data that can extracted from numerous internal and external sources.
3. near realtimeupdates.
4. far reaz-time updates.

11. The active data warehouse architecture includes

1. at least one data mart.
2. data that can extracted from numerous internal and external sources.
3. near real-time updates.
4. all of the above.

12. The data administration subsystem helps you perform all of the following, except

1. backups and recovery.
2. query optimization.
3. security management.
4. create, change, and delete information.

13. A data warehouse iswhich of the following?

1. Can be updated by end users.
2. Contains numerous naming conventions and formats.
3. Organized around important subject areas.
4. Contains only current data.

14. The extract process is

1. capturing all of the data contained in various operational systems.
2. capturing a subset of the data contained in various operational systems.
3. capturing all of the data contained in various decision support systems.
4. capturing a subset of the data contained in various decision support systems.

15. ______consists of formal definitions, such as a COBOL layout or a database schema.

1. Classical metadata.
2. Transformation metadata.
3. Historical metadata.
4. Structural metadata.

16. Fact tables are

1. completely demoralized.
2. partially demoralized.
3. completely normalized.
4. partially normalized.

17. ____________ is called a multifield transformation.

1. Converting data from one field into multiple fields.
2. Converting data from fields into field.
3. Converting data from double fields into multiple fields.
4. Converting data from one field to one field.

18. Transient data is

1. data in which changes to existing records cause the previous version of the records to be eliminated.
2. data in which changes to existing records do not cause the previous version of the records to beeliminated.
3. data that are never altered or deleted once they have been added.
4. data that are never deleted once they have been added.

19. __________ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in support of management decisions.

1. Data Mining
2. Data Warehousing
3. Web Mining
4. Text Mining

20. ......................... is a subject-oriented, integrated, time-variant, nonvolatile collection or data in support of management decisios.

1. Data Mining
2. DataWarehousing
3. Document Mining
4. Text Mining

21. __________ is the heart of the warehouse.

1. Data mining database servers.
2. Data warehouse database servers.
3. Data mart database servers.
4. Relational data base servers.

22. Reconciled data is

1. data stored in the various operational systems throughout the organization.
2. current data intended to be the single source for all decision supportsystems.
3. data stored in one operational system in the organization.
4. data that has been selected and formatted for end-user support applications.

23. ____________predicts future trends & behaviors, allowing business managers to make proactive,knowledge-driven decisions.

1. Data warehouse.
2. Data mining.
3. Datamarts.
4. Metadata.

24. Data can be updated in _____environment.

1. data warehouse.
2. data mining.
3. operational.
4. informational.

25. Expansion for DSS in DW is

1. Decision Support system.
2. Decision Single System.
3. Data Storable System.
4. Data Support System.

26. A snowflake schema is which of the following types of tables?

1. Fact
2. Dimension
3. Helper
4. All of the above

27. Business Intelligence and data warehousing is used for

1. Forecasting.
2. Data Mining.
3. Analysis of large volumes of product sales data.
4. All of the above.

28. Which of the following is not a kind of data warehouse application?

1. Information processing
2. Analytical processing
3. Data mining
4. Transaction processing

29. ______________databases are owned by particular departments or business groups.

1. Informational.
2. Operational.
3. Both informational and operational.
4. Flat.

30. The type of relationship in star schema is

1. many to many
2. one to one
3. one to many
4. many to one

31. The type of relationship in star schema is

1. many-to-many.
2. one-to-one.
3. one-to-many.
4. many-to-one.

32. _______test is used in an online transactional processing environment.

1. MEGA.
2. MICRO.
3. MACRO.
4. ACID.

33. Which of the following is not a component of a data warehouse?

1. Metadata
2. Current detail data
3. Lightly summarized data
4. Component Key

34. Detail data in single fact table is otherwise known as

1. monoatomic data.
2. diatomic data.
3. atomic data.
4. multiatomic data.

35. _____________consists of information in the enterprise that is not in classical form.

1. Mushy metadata.
2. Differential metadata.
3. Data warehouse.
4. Data mining.

36. Data warehouse contains_____________data that is never found in the operational environment.

1. normalized.
2. informational.
3. summary.
4. denormalized.

37. An .................. system is market-oriented and is used for data analysis by knowledge workers, including managers, executives, and analysts.

1. OLAP
2. OLTP
3. Both of the above
4. None of the above

38. The data is stored, retrieved & updated in

1. OLAP.
2. OLTP.
3. SMTP.
4. FTP.

39. Record cannot be updated in

1. OLTP
2. files
3. RDBMS
4. data warehouse

40. The star schema is composed of __________ fact table.

1. one.
2. two.
3. three.
4. four.

41. The full form of OLAP is

1. Online Analytical Processing
2. Online Advanced Processing
3. Online Advanced Preparation
4. Online Analytical Performance

42. The source of all data warehouse data is the

1. operational environment.
2. informal environment.
3. formal environment.
4. technology environment.

43. ________________ is the specialized data warehouse database.

1. Oracle.
2. DBZ.
3. Informix.
4. Redbrick.

44. The biggest drawback of the level indicator in the classic star-schema is that it limits

1. quantify.
2. qualify.
3. flexibility.
4. ability.

45. The data Warehouse is

1. read only
2. write only
3. read write only
4. none

46. __________describes the data contained in the data warehouse.

1. Relational data.
2. Operational data.
3. Metadata.
4. Informational data.

47. ........................ is a good alternative to the star schema.

1. Star schema
2. Snowflake schema
3. Fact constellation
4. Star-snowflake schema

48. ___________ is a good alternative to the star schema.

1. Star schema.
2. Snowflake schema.
3. Fact constellation.
4. Star-snowflake schema.

49. The important aspect of the data warehouse environment is that data found within the data warehouseis___________.

1. subject-oriented.
2. time-variant.
3. integrated.
4. All of the above.

50. The key used in operational environment may not have an element of

1. time.
2. cost.
3. frequency.
4. quality.