Data Warehousing Questions and Answers | Online Quiz for Practice

46. __________describes the data contained in the data warehouse.

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

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

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

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

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

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

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

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

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

51. _______________ is the goal of data mining.

1. To confirm that data exists.
2. To analyze data for expected relationships.
3. To create a new data warehouse.
4. To explain some observed event or condition.

52. The ............................ exposes the information being captured, stored, and managed by operational systems.

1. data warehouse view
2. data source view
3. business query view
4. top-down view

53. The .................. allows the selection of the relevant information necessary for the data warehouse.

1. data warehouse view
2. data source view
3. business query view
4. top-down view

54. A data warehouse is

1. contains numerous naming conventions and formats
2. organized around important subject areas.
3. contains only current data.
4. updated by end users.

55. An operational system is

1. used to run the business in real time and is based on current data.
2. used to support decision making and is based on current data.
3. used to support decision making and is based on historical data.
4. used to run the business in real time and is based on historical data.

56. ________________defines the structure of the data held in operational databases and used byoperational applications.

1. Data warehouse metadata.
2. Operational metadata.
3. Data mining metadata.
4. User-level metadata.

57. The data is stored, retrieved and updated in

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