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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q693-Q698):

NEW QUESTION # 693
Data access control can be organized at an individual level or group level, depending on the need.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 694
An application DBA leads the review and administration of procedural database objects.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 695
Within the Data Handling Ethics Context Diagram a key deliverable is the Ethical Data Handling Strategy.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 696
Top down' and "bottom up' data analysis and profiling is best done in concert because:

A. It gives something for the architects to do while the profilers get on with thework
B. It allows the profiler to show the business the true state of the data
C. It balances business relevance and the actual state of the data
D. Data quality tools are more productive when they are effectively configured
E. It gets everyone involved

Answer: C

NEW QUESTION # 697
Periodic archiving of transaction data from a production CRM system is critical for:

A. Managing deleted customer records
B. Training junior DBAs
C. The maintenance of database performance
D. Enabling the distribution of transaction data across the enterprise
E. Providing alternate sources for reporting systems

Answer: C

Explanation:
Archiving transaction data in a production CRM system is primarily aimed at optimizing database performance by reducing the volume of active data, which enhances query response times and system efficiency. According to the DAMA-DMBOK, archiving is a key activity in data lifecycle management that supports data storage and operations. The DMBOK states: "Archiving involves moving data that is no longer actively used to a separate storage device for long-term retention. Archiving helps maintain database performance by reducing the size of active datasets, which can improve query performance and reduce resource consumption" (DMBOK2, Chapter 10: Data Storage and Operations, p. 387).
This process ensures that the database remains efficient for transactional processing, as large volumes of historical data can slow down operations if not archived. Options A, B, D, and E, while potentially related to data management, do not directly address the primary purpose of archiving in this context. For instance, managing deleted customer records (B) relates more to data retention policies, and providing alternate sources for reporting (E) is a secondary benefit rather than the primary goal.
Reference:DAMA-DMBOK2, Chapter 10: Data Storage and Operations, Section 4.3, p. 387.

NEW QUESTION # 698
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