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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q709-Q714):

NEW QUESTION # 709
Once the most critical business needs and the data that supports them have been identified, the most important part of the data quality assessment is actually looking data, querying it to understand data content and relationships, and comparing actual data to rules and expectations.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 710
A limitation of the centralized metadata repository approach is it may be less expensive.

A. TRUE
B. FALSE

Answer: B

NEW QUESTION # 711
What are the three characteristics of effective Data Governance communication?

A. It must be viral, vital, and have volume
B. It must be clear, structured, repetitive
C. It must be consistent, unambiguous, engaging
D. It must be clear, unambiguous, and consistent
E. It must be colorful, engaging, using multi-media

Answer: B

NEW QUESTION # 712
Typically, DW/BI projects have three concurrent development tracks, including:

A. Streaming
B. Technology
C. BI Tools
D. Data
E. Messaging
F. Trickle Feeds

Answer: B,C,D

NEW QUESTION # 713
Do experts feel a Data Lake needs data management?

A. No, a data lake should contain all the data whether it is inconsistent or not, otherwise data scientists don' t have full insight into the data
B. No, metadata might keep sensitive data out of the data lake, and analysts need all the data
C. Yes, metadata creates an inventory of the data as it is ingested into the data lake
D. No, a data lake should ingest streaming data without any restrictions
E. Yes, metadata in a data lake prevents synchronization issues by providing both current state and history

Answer: C

Explanation:
Data lakes require data management, particularly metadata, to ensure usability. The DAMA-DMBOK states:
"Data lakes need data management, including metadata to create an inventory of ingested data, enabling discovery, governance, and quality control" (DMBOK2, Chapter 4: Data Architecture, p. 161). Option C aligns with this. Options A, D, and E dismiss the need for management, and B is inaccurate about synchronization.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161.

NEW QUESTION # 714
......

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