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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q393-Q398):

NEW QUESTION # 393
The deliverables of the data modelling process include:

A. Assessments
B. Definitions
C. Roadmap
D. Lineage
E. Issues and outstanding questions
F. Diagram

Answer: B,D,E,F

NEW QUESTION # 394
What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?

A. Network key
B. Foreign key
C. All of the above
D. Primary key
E. Applications key
F. Door key

Answer: B

NEW QUESTION # 395
Business metadata focuses largely on the content and condition of the data and includes details related to data governance.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 396
Layers of data governance are often part of the solution. This means determining where accountability should reside for stewardship activities and who the owners of the data are.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 397
Big data management requires:

A. Less discipline than relational data management
B. Big ideas with big budgets
C. A certification in data science
D. More discipline than relational data management
E. No discipline at all

Answer: D

Explanation:
Big data management involves handling large, complex, and unstructured datasets, requiring greater discipline in governance, quality, and processing compared to relational data. The DAMA-DMBOK states:
"Big data management requires more discipline than traditional relational data management due to the volume, velocity, variety, and veracity challenges" (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 521).
Options A, B, D, and E are incorrect: big data requires discipline, not less or none, and budgets or certifications are irrelevant to the question.
Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 4.3, p. 521.

NEW QUESTION # 398
......

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