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DAMA DMF-1220 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Quality	12%	- Assessment and improvement - Data cleansing - Quality dimensions
Topic 2: Data Integration and Interoperability	10%	- ETL and ELT processes - Data exchange standards - Integration patterns
Topic 3: Metadata Management	8%	- Metadata lifecycle - Types of metadata - Metadata repositories
Topic 4: Data Governance	15%	- Compliance and ethics - Governance framework and policies - Data stewardship
Topic 5: Data Security	10%	- Access control - Security principles - Privacy and protection
Topic 6: Data Management Concepts	10%	- DAMA-DMBOK framework - Definitions and principles - Data management roles and responsibilities
Topic 7: Reference and Master Data	5%	- Management processes - Definitions and purpose
Topic 8: Data Modeling and Design	10%	- Modeling standards and methods - Conceptual, logical, physical models
Topic 9: Data Storage and Operations	8%	- Storage technologies - Database operations - Data lifecycle management
Topic 10: Data Architecture	12%	- Enterprise data architecture - Data modeling and design - Architecture components and layers

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Pass Guaranteed 2026 DMF-1220: Reliable Data Management Fundamentals Exam Study Solutions

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DAMA Data Management Fundamentals Sample Questions (Q283-Q288):

NEW QUESTION # 283
Which of the following provides the strongest tangible reason for driving initiation of a Data Governance process in an enterprise?

A. There is disagreement among divisions on the meaning of key metrics
B. There is typically significant waste in an enterprise through duplication of reports and metrics
C. I ' ve been to a conference and found that lots of our competitors are doing it
D. Each division of an enterprise may have its own way to describe its business and associated metrics
E. Increasing regulation in industry can impose real penalties in terms of substantial fines or jail terms for non-compliance to properly managed data (e.g. accurate reporting/accounting)

Answer: B

NEW QUESTION # 284
Which of the following is the best example of a documented data quality rule?

A. The transaction data from all satellite systems needs to reflect actual customer balances each morning
B. Each transaction data file holding customer transactions must be kept confidential to the authorized users within the operations team
C. Every transaction recorded must be processed by 12:05 a.m. by authorized personnel who will validate balances and data delivery to branches
D. The transaction data from all satellite systems needs to be ready by 12:05 a.m. in order to feed the overnight batching window, to ensure branches have access to actual customer balances
E. All transaction data in the core banking systems needs to be processed at 12:05 a.m. each day regardless of the business calendar day and time zone

Answer: D

Explanation:
Option D is the strongest documented data quality rule because it defines the relevant data, establishes a measurable timeliness requirement, and links the requirement directly to a business need. The transaction data must be available by 12:05 a.m. , allowing objective measurement of whether the timeliness criterion has been satisfied, while the reason for that requirement-ensuring branches can access current balances-is explicit. DAMA Data Quality Management emphasizes defining requirements and business rules that allow data quality to be measured against business expectations. Option A is primarily a security/confidentiality requirement. Options B and C describe processing procedures rather than the quality state required of the data.
Option E expresses an important accuracy objective but lacks the same precise, operationally measurable criterion. A documented Data Quality rule should enable conformance to be objectively measured.

NEW QUESTION # 285
Data governance requires control mechanisms and procedures for, but not limited to, facilitating subjective discussions where managers' viewpoints are heard.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 286
An organization can enhance its Data Governance program and thereby improve its approach to enterprise data management. This is important for the following reason:

A. Often organizations have a data repository or dictionary that is just as good as Data Governance
B. Assessing current state for Data Governance may not tell the organization the current state of other components
C. Data Governance programs are rarely enhanced once they are launched
D. Starting a Data Governance program does not require that the organization start a data management program
E. Since most organizations start Data Governance in silos and not at the enterprise level, it is important to be able to assess current state and determine desired targeted state that supports the overall vision

Answer: E

NEW QUESTION # 287
Type of Reference Data Changes include:

A. Structural changes to external Reference Data sets
B. Row level changes to internal Reference Data sets
C. Business model changes on column level
D. Creation of new Reference Data sets
E. None of the above
F. Row level changes to external Reference Data sets

Answer: A,B,D,F

NEW QUESTION # 288
......

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