DAMA DMBOK v2 - Ch 4 - Data Architecture UPDATED
ACTUAL QUESTIONS AND CORRECT Answers
Architecture The fundamental organization of a system, embodied in its components, their
relationships to each other and the environment, and the principles governing its
design and evolution.
Essential Components of Data Architecture ● Outcomes (models, definitions, and data flows)
● Activities (form, deploy and fulfill DA intentions)
● Behavior (collaborations, mindsets, and skills among the various roles)
Data Architecture Artifacts Includes specifications used to describe existing state, define data requirements,
guide data integration, and control data assets as put forth in the data strategy.
Organization's Data Architecture Described by an integrated collection of master design documents at different
levels of abstraction, including standards that govern how data is collected, stored,
arranged, used, and removed.
Architecture Design Document Contents Formal enterprise data model, containing data names, comprehensive data and
Metadata definitions, conceptual and logical entities and relationships, and business
rules.
TERM DEFINITION LOCATION
Definition Identifying the data needs of the enterprise (regardless of the structure),
and designing and maintaining the master blueprints to meet those needs.
Using master blueprints to guide data integration, control data assets, and
align data investments with business strategy.
TERM DEFINITION LOCATION
Goals 1. Identify data storage and processing requirements.
2. Design structures and plans to meet the current and long-term data
requirements of the enterprise.
3. Strategically prepare organizations to quickly evolve their products,
services, and data to take advantage of business opportunities inherent in
emerging technologies.
TERM DEFINITION LOCATION
Inputs ● Enterprise Architecture
● Business Architecture
● IT Standards and Goals
● Data Strategies
ACTUAL QUESTIONS AND CORRECT Answers
Architecture The fundamental organization of a system, embodied in its components, their
relationships to each other and the environment, and the principles governing its
design and evolution.
Essential Components of Data Architecture ● Outcomes (models, definitions, and data flows)
● Activities (form, deploy and fulfill DA intentions)
● Behavior (collaborations, mindsets, and skills among the various roles)
Data Architecture Artifacts Includes specifications used to describe existing state, define data requirements,
guide data integration, and control data assets as put forth in the data strategy.
Organization's Data Architecture Described by an integrated collection of master design documents at different
levels of abstraction, including standards that govern how data is collected, stored,
arranged, used, and removed.
Architecture Design Document Contents Formal enterprise data model, containing data names, comprehensive data and
Metadata definitions, conceptual and logical entities and relationships, and business
rules.
TERM DEFINITION LOCATION
Definition Identifying the data needs of the enterprise (regardless of the structure),
and designing and maintaining the master blueprints to meet those needs.
Using master blueprints to guide data integration, control data assets, and
align data investments with business strategy.
TERM DEFINITION LOCATION
Goals 1. Identify data storage and processing requirements.
2. Design structures and plans to meet the current and long-term data
requirements of the enterprise.
3. Strategically prepare organizations to quickly evolve their products,
services, and data to take advantage of business opportunities inherent in
emerging technologies.
TERM DEFINITION LOCATION
Inputs ● Enterprise Architecture
● Business Architecture
● IT Standards and Goals
● Data Strategies
