Question 1

An event is a database action that results from a transaction.

Accepted Answer

An event in a database context often refers to an action or occurrence that is the result of a transaction, such as an update, insert, or delete operation.

Question 2

Scalable technology is often critical to a data mart.

Accepted Answer

Scalable technology is important for a data mart because it allows the system to handle increasing amounts of data and users efficiently as the organization grows.

Question 3

An enterprise data warehouse is the control point and single source of all data made available to end users for decision support applications.

Accepted Answer

An enterprise data warehouse serves as a centralized repository that consolidates data from various sources, providing a unified and consistent data model for decision support and analysis.

Question 4

A corporate information factory (CIF) is a comprehensive view of organizational data in support of all user data requirements.

Accepted Answer

A corporate information factory (CIF) is designed to provide a comprehensive view of organizational data, supporting various user data requirements by integrating data from multiple sources.

Question 5

The representation of data in a graphical format is called data mining.

Accepted Answer

Data mining refers to the process of discovering patterns and knowledge from large amounts of data, while representing data in a graphical format is known as data visualization.

Question 6

Periodic data are data that are never physically altered or deleted once they have been added to the store.

Accepted Answer

Periodic data are data that are never physically altered or deleted once they have been added to the store.

Question 7

The enterprise data model controls the phased evolution of the data warehouse.

Accepted Answer

The enterprise data model provides a blueprint for the data warehouse, guiding its development and ensuring that it evolves in a structured and phased manner.

Question 8

Logical data marts are physically separate databases from the enterprise data warehouse.

Accepted Answer

Logical data marts are not physically separate; they are virtual views of the data in the enterprise data warehouse.

Question 9

Organizations adopt data mart architectures because it is easier to have separate, small data warehouses than to get all organizational parties to agree to one view of the organization in a central data warehouse.

Accepted Answer

Data marts allow different departments to have tailored data solutions, avoiding the complexity and conflicts of a centralized data warehouse.

Question 10

A separate data warehouse causes more contention for resources in an organization.

Accepted Answer

A separate data warehouse is designed to reduce contention for resources by offloading analytical processing from operational systems, thus improving performance for both.

Question 11

Drill-down involves analyzing a given set of data at a finer level of detail.

Accepted Answer

Drill-down is a data analysis technique that allows users to view data at a more detailed level, often by breaking down aggregated data into more specific sub-categories.

Question 12

Reconciled data are data that have been selected, formatted, and aggregated for end-user decision support applications.

Accepted Answer

The answer of Reconciled data are data that have been...

Question 13

Independent data marts do not generally lead to redundant data and efforts.

Accepted Answer

Independent data marts often lead to redundant data and efforts because they are created separately without a centralized data management strategy, resulting in duplication of data across different departments or business units.

Question 14

An independent data mart is filled with data extracted from the operational environment without the benefit of a data warehouse.

Accepted Answer

An independent data mart is a standalone system that sources data directly from operational systems, bypassing a centralized data warehouse.

Question 15

The status of data is the representation of the data after an event has occurred.

Accepted Answer

The answer of The status of data is the representation...

Question 16

Operational metadata are derived from the enterprise data model.

Accepted Answer

Operational metadata are not derived from the enterprise data model; they are typically generated from the operational systems and processes that manage and use the data.

Question 17

A dependent data mart is filled from the enterprise data warehouse and its reconciled data.

Accepted Answer

A dependent data mart is created from an existing enterprise data warehouse, ensuring that the data is consistent and reconciled with the organization's central data repository.

Question 18

A data mart is a data warehouse that contains data that can be used across the entire organization.

Accepted Answer

A data mart is a subset of a data warehouse, typically focused on a specific business line or team, not the entire organization.

Question 19

Transient data are never changed.

Accepted Answer

Transient data can change frequently as it is temporary and often used for short-term processing or calculations.

Question 20

An enterprise data warehouse that accepts near-real time feeds of transactional data and immediately transforms and loads the appropriate data is called a real-time data warehouse.

Accepted Answer

A real-time data warehouse is designed to handle and process data as it is generated, allowing for immediate transformation and loading of transactional data.

Quiz 9: Data Warehousing and Data Integration

An event is a database action that results from a transaction.

Scalable technology is often critical to a data mart.

An enterprise data warehouse is the control point and single source of all data made available to end users for decision support applications.

A corporate information factory (CIF) is a comprehensive view of organizational data in support of all user data requirements.

The representation of data in a graphical format is called data mining.

Periodic data are data that are never physically altered or deleted once they have been added to the store.

The enterprise data model controls the phased evolution of the data warehouse.

Logical data marts are physically separate databases from the enterprise data warehouse.

Organizations adopt data mart architectures because it is easier to have separate, small data warehouses than to get all organizational parties to agree to one view of the organization in a central data warehouse.

A separate data warehouse causes more contention for resources in an organization.

Drill-down involves analyzing a given set of data at a finer level of detail.

Reconciled data are data that have been selected, formatted, and aggregated for end-user decision support applications.

Independent data marts do not generally lead to redundant data and efforts.

An independent data mart is filled with data extracted from the operational environment without the benefit of a data warehouse.

The status of data is the representation of the data after an event has occurred.

Operational metadata are derived from the enterprise data model.

A dependent data mart is filled from the enterprise data warehouse and its reconciled data.

A data mart is a data warehouse that contains data that can be used across the entire organization.

Transient data are never changed.

An enterprise data warehouse that accepts near-real time feeds of transactional data and immediately transforms and loads the appropriate data is called a real-time data warehouse.