DAMA DMF-1220 Questions Answers
Data Management Fundamentals- 749 Questions & Answers
- Update Date : August 28, 2026
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Related Exams
Data Quality
150 Questions
DAMA DMF-1220 Sample Questions
Question # 1Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.
A. TRUE
B. FALSE
Question # 2
Which Data Architecture Artifact describes how data transforms into business assets?
A. Implementation Roadmap
B. Data Value Chain
C. Master Data Models
D. Business Value Chains
E. Data Flows
Question # 3
What key components must be included in the Implementation Roadmap?
A. Timeframes and resources for data quality requirements, policies and directives and
testing standards
B. Data metrics, physical data structures, and data model designs
C. Timeframes and resources for Policies and Directives, a Business Glossary Architecture, Business and IT processes and role descriptions
D. Testing requirements, risk assessment, data security and privacy policies and database design
E. Timeframes and resources for policies and directives Architecture, Tools and Control Metrics
Question # 4
Business glossary is not merely a list of terms. Each term will be associated with other valuable metadata such as synonyms, metrics, lineage, or:
A. Sanctioned rules
B. Archive Rules
C. Business Rules
D. Database Type
E. Data Length
Question # 5
A pensioner who usually receives a quarterly bill of around $300 was sent a $100,000,000 electricity bill. They were a victim of poor data quality checks in which dimension?
A. Currency
B. Integrity
C. Accuracy
D. Reasonableness
E. Timeliness
Question # 6
The operational data quality management procedures depend on the ability to measure and monitor the applicability of data.
A. FALSE
B. TRUE
Question # 7
During the intial scoping of a project, a data model can be used to:
A. Identify detailed impact on all the tables in a database that must be changed
B. Determine the security requirements for accessing the data
C. Provide a clear definition of affected and non-affected data entities
D. Determine the impact of business processes and customer lifecycles
E. Plan the structure of the metadata repository
Question # 8
A successful Data Governance program requires that all enterprise data be certified.
A. FALSE
B. TRUE
Question # 9
The load step of ETL is physically storing or presenting the results of the transformation in the target system.
A. TRUE
B. FALSE
Question # 10
Location Master Data includes business party addresses and business party location, as well as facility addresses for locations owned by organizations.
A. TRUE
B. FALSE
Question # 11
A general principle for managing metadata includes Responsibility
A. FALSE
B. TRUE
Question # 12
In defining a Data Security Policy, what role should Data Governance play?
A. Write the Data Security Policy
B. Send all Data Security questions to the legal department
C. Have no role in the Data Security Policy
D. Review and approve the Data Security Policy
E. Own and maintain the Data Security Policy
Question # 13
When starting a Data Governance initiative it is important to understand what the Business cannot achieve due to data issues because:
A. It is important to understand the data quality issues that will need to be addressed
B. Unless you correctly identify the most important business stakeholders it is harder to sustain political buy-in to Data Governance
C. It is essential to identify key stakeholders so you can sell your vision of Data Governance to them
D. Change management creates a sense of dissatisfaction.
E. Aligning Data Governance with actual business needs makes it easier to communicate the vision and value of Data Governance
Question # 14
Periodic archiving of transaction data from a production CRM system is critical for:
A. Training junior DBAs
B. Managing deleted customer records
C. The maintenance of database performance
D. Enabling the distribution of transaction data across the enterprise
E. Providing alternate sources for reporting systems
Question # 15
Business activity information is one of the types of data that can be modelled.
A. TRUE
B. FALSE