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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q508-Q513):

NEW QUESTION # 508
Data profiling examples include:

A. Frequency distribution
B. Max/Min value
C. None of the above
D. Data type and format
E. Counts of null
F. Max/Min length

Answer: A,B,D,E,F

NEW QUESTION # 509
Which of the following are must-do for any successful Data Governance programme?

A. Allocate Data Ownership responsibilities according to their role in the organization.
B. Set up a wiki for incorrect data definitions.
C. Ensure there is a Data Governance Policy with which everyone in the organization is required to comply.
D. Create a training programme for all for data owners and data stewards.
E. Create a communications plan to inform to all stakeholders what you are doing.

Answer: C

NEW QUESTION # 510
Data governance and IT governance are the same thing.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 511
Why is it so important to conduct a Data Governance Readiness Assessment?

A. It will identify the readiness and level of maturity that an organization will need to effectively govern and sustain its data, process, and policies
B. It is important because it will prove that the IT department is best qualified to define, develop, and manage the organization's data assets
C. It will give the Business some metrics
D. It is important because the organization will have an opportunity for business people to be identified as data stewards
E. Because it will show that the Data Governance team is working hard

Answer: A

Explanation:
A readiness assessment evaluates an organization's maturity for data governance. The DAMA-DMBOK states: "A Data Governance Readiness Assessment identifies the organization's maturity level and readiness to effectively govern and sustain its data, processes, and policies" (DMBOK2, Chapter 3: Data Governance, p.
121). Option E is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 4.2, p. 121.

NEW QUESTION # 512
Which Data Architecture Artifact describes how data transforms into business assets?

A. Business Value Chains
B. Implementation Roadmap
C. Master Data Models
D. Data Value Chain
E. Data Flows

Answer: D

NEW QUESTION # 513
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