Data Warehousing

Q1: Transient data is which of the following?

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

Q2: Data transformation includes which of the following?

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

Q3: The load and index is which of the following?

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

Q4: A data warehouse is which of the following?

A Can be updated by end users.

B Contains numerous naming conventions and formats.

C Organized around important subject areas.

D Contains only current data.

Q5: A star schema has what type of relationship between a dimension and fact table?

A Many-to-many

B One-to-one

C One-to-many

D All of the above.

Q6: The generic two-level data warehouse architecture includes which of the following?

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.

Q7: Reconciled data is which of the following?

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.

Q8: The @active data warehouse architecture includes which of the following?

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.

Q9: An operational system is which of the following?

A A system that is used to run the business in real time and is based on historical data.

B A system that is used to run the business in real time and is based on current data.

C A system that is used to support decision making and is based on current data.

D A system that is used to support decision making and is based on historical data.

Q10: Fact tables are which of the following?

A Completely denoralized

B Partially denoralized

C Completely normalized

D Partially normalized

Q11: Data scrubbing is which of the following?

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

Q12: A multifield transformation does which of the following?

A Converts data from one field into multiple fields

B Converts data from multiple fields into one field

C Converts data from multiple fields into multiple fields

D All of the above

Q13: A snowflake schema is which of the following types of tables?

A Fact

B Dimension

C Helper

D All of the above

Q14: A goal of data mining includes which of the following?

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

Q15: The extract process is which of the following?

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


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