Data Warehousing

Q1. Which of the following is data scrubbing?

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

Q2. The @active data warehouse architecture includes What?

Near real-time updates
All of the above
At least one data mart
Data that can extracted from numerous internal and external sources

Q3. A goal of data mining includes What?

To explain some observed event or condition
To create a new data warehouse
To confirm that data exists
To analyze data for expected relationships

Q4. The extract process is?

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

Q5. The generic two-level data warehouse architecture includes?

Data that can extracted from numerous internal and external sources
All of the above
At least one data mart
Near real-time updates

Q6. Which of the following is an operational system?

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

Q7. Which of the following is a data warehouse?

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

Q8. Data transformation includes?

A process to change data from a detailed level to a summary level
A process to change data from a summary level to a detailed level
Separating data from one source into various sources of data
Joining data from one source into various sources of data

Q9. 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

Q10. The load and index is?

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

Q11. which of the following types of tables is a snowflake schema?

Helper
Dimension
Fact
All of the above

Q12. What is Transient data?

Data in which changes to existing records do not cause the previous version of the records to be eliminated
Data that are never altered or deleted once they have been added
Data that are never deleted once they have been added
Data in which changes to existing records cause the previous version of the records to be eliminated

Q13. what type of relationship between a dimension and fact table in a star schema?

Many-to-many
One-to-many
All of the above
One-to-one

Q14. What is Reconciled data?

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

Q15. which of the following are Fact tables?

Partially denoralized
Completely normalized
Completely denoralized
Partially normalized

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Introduction To Data Warehousing

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