DAMA DMF-1220 Data Management Fundamentals Online Training
DAMA DMF-1220 Online Training
The questions for DMF-1220 were last updated at Nov 01,2025.
- Exam Code: DMF-1220
 - Exam Name: Data Management Fundamentals
 - Certification Provider: DAMA
 - Latest update: Nov 01,2025
 
Inputs in the data quality context diagram include:
- A . Data stores
 - B . Data lakes
 - C . Business requirements
 - D . Data quality expectations
 
The data warehouse and marts differ from that in applications as the data is organized by subject rather than function.
- A . TRUE
 - B . FALSE
 
Architects seek to design in a way that brings value to an organisation. To reach these goals, data architects define and maintain specifications that:
- A . Align data architecture with enterprise strategy and business architecture
 - B . Provide a standard business vocabulary for data and components
 - C . Outline high-level integrated designs to meet these requirements.
 - D . Integrate with overall enterprise architecture roadmap
 - E . Define the current state of data in the organization.
 - F . Express strategic data requirements
 
A limitation of the centralized metadata repository approach is it may be less expensive.
- A . TRUE
 - B . FALSE
 
Big data primarily refers specifically to the volume of the data.
- A . TRUE
 - B . FALSE
 
The accuracy dimension has to do with the precision of data values.
- A . TRUE
 - B . FALSE
 
BI tool types include:
- A . BPM
 - B . Operational reporting
 - C . Data lake extraction
 - D . Diagnostic, self-service analytics
 - E . Descriptive, self-service analytics
 - F . Reduction of risk
 
The goals of Data Integration and Interoperability include:
- A . Provide data securely, with regulatory compliance, in the format and timeframe needed.
 - B . Lower cost and complexity of managing solutions by developing shared models and interfaces.
 - C . Managing the availability of data throughout the data lifecycle
 - D . Provide the starting point for customizations, integration or even replacement of an application
 - E . Identify meaningful events and automatically trigger alerts and actions.
 - F . Support business intelligence, analytics, master data management and operational efficiency efforts.
 
The Belmont principles that may be adapted for Information Management disciplines, include:
- A . Respect for Persons
 - B . Respect for Machines
 - C . Beneficence
 - D . Criminality
 - E . Justice
 
	
																
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