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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q674-Q679):

NEW QUESTION # 674
What is one of the most important things about collecting data?

A. To keep data away from the public
B. To collect as much data as possible into the data repository
C. To share the data across the organization
D. To keep data for each department separate because no one needs all the data
E. To resolve many-to-many relationships

Answer: C

NEW QUESTION # 675
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. Every transaction recorded must be processed by 12:05 a.m. by authorized personnel who will validate balances and data delivery to branches
C. 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
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. Each transaction data file holding customer transactions must be kept confidential to the authorized users within the operations team

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 # 676
In defining a Data Security Policy, what role should Data Governance play?

A. Review and approve the Data Security Policy
B. Own and maintain the Data Security Policy
C. Write the Data Security Policy
D. Send all Data Security questions to the legal department
E. Have no role in the Data Security Policy

Answer: A

Explanation:
Data governance ensures policies align with data strategy but does not write or own security policies. The DAMA-DMBOK states: "Data governance should review and approve data security policies to ensure alignment with governance objectives, while security teams typically write and maintain these policies" (DMBOK2, Chapter 3: Data Governance, p. 119). Option D is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 4.1, p. 119.

NEW QUESTION # 677
Critical success factors throughout the BI/DW lifecycle include:

A. A consistent line across display methods
B. Business sponsorship
C. Vision alignment
D. Linear symmetry
E. Business readiness
F. A clear and consistent focus

Answer: A,B,C

NEW QUESTION # 678
Examples of concepts that can be standardized within the data architecture knowledge area include:

A. Tool standards
B. Data quality rules
C. Enterprise data models
D. Data security standards
E. None of the above
F. System naming conventions

Answer: A,C,F

NEW QUESTION # 679
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