Data Warehousing

Q1. which of the following types of tables is a snowflake schema?

All of the above

Fact

Helper

Dimension

Q2. Which of the following is data scrubbing?

A process to upgrade the quality of data before it is moved into a data warehouse

A process to upgrade the quality of data after it is moved into a data warehouse

A process to load the data in the data warehouse and to create the necessary indexes

A process to reject data from the data warehouse and to create the necessary indexes

Q3. What is Transient data?

Data in which changes to existing records cause the previous version of the records to be eliminated

Data that are never altered or deleted once they have been added

Data in which changes to existing records do not cause the previous version of the records to be eliminated

Data that are never deleted once they have been added

Q4. what type of relationship between a dimension and fact table in a star schema?

One-to-one

One-to-many

Many-to-many

All of the above

Q5. Which of the following is an operational system?

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

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

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

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

Q6. The extract process is?

Capturing all of the data contained in various decision support systems

Capturing all of the data contained in various operational systems

Capturing a subset of the data contained in various decision support systems

Capturing a subset of the data contained in various operational systems

Q7. A goal of data mining includes What?

To analyze data for expected relationships

To confirm that data exists

To create a new data warehouse

To explain some observed event or condition

Q8. which of the following are Fact tables?

Partially normalized

Partially denoralized

Completely denoralized

Completely normalized

Q9. The generic two-level data warehouse architecture includes?

Data that can extracted from numerous internal and external sources

Near real-time updates

All of the above

At least one data mart

Q10. The load and index is?

A process to reject data from the data warehouse and to create the necessary indexes

A process to upgrade the quality of data after it is moved into a data warehouse

A process to load the data in the data warehouse and to create the necessary indexes

A process to upgrade the quality of data before it is moved into a data warehouse

Q11. Data transformation includes?

Joining data from one source into various sources of data

Separating data from one source into various sources of data

A process to change data from a summary level to a detailed level

A process to change data from a detailed level to a summary level

Q12. Which of the following is a data warehouse?

Contains only current data

Can be updated by end users

Organized around important subject areas

Contains numerous naming conventions and formats

Q13. What does a multifield transformation?

Converts data from multiple fields into multiple fields

Converts data from multiple fields into one field

Converts data from one field into multiple fields

All of the above

Q14. What is Reconciled data?

Data that has been selected and formatted for end-user support applications

Data stored in one operational system in the organization

Data stored in the various operational systems throughout the organization

Current data intended to be the single source for all decision support systems

Q15. The @active data warehouse architecture includes What?

Near real-time updates

At least one data mart

Data that can extracted from numerous internal and external sources

All of the above

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