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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q239-Q244):

NEW QUESTION # 239
What techniques should be used and taught to produce the required ethical data handling deliverables?

A. Due to fact that ethics are constantly changing we need to constantly affirm the organizations ethic statements on an annual basis
B. Do an ethical impact assessment framework for all projects and activities involved in data management
C. A privacy impact assessment (PIA) is critical to ensuring that we are adhering to ethical data management
D. Change, Communication and training techniques need to be established
E. Data Governance should define the set of ethical practices that are good for the organization

Answer: C

NEW QUESTION # 240
According to the DMBoK, Data Governance is central to Data Management. In practical terms, what other functions of Data Management are required to ensure that your Data Governance programme is successful?

A. Data Quality, Content and Document Management, and Data Development
B. Master Data, Data Quality, and Data Development
C. Data Modelling, Data Architecture and Master Data Management
D. Data Architecture, Data Security, and Metadata Management
E. Data Quality, Data Architecture, and Metadata Management

Answer: E

NEW QUESTION # 241
Examples of technical metadata include:

A. Recovery and backup rules
B. Colum properties
C. Data subject properties
D. Access permission

Answer: A,B,C,D

NEW QUESTION # 242
Business rules describe why business should operate internally, in order to be successful and compliant with the outside world.

A. TRUE
B. FALSE

Answer: B

NEW QUESTION # 243
There are several reasons to denormalize dat
a. The first is to improve performance by:

A. Creating smaller copies of fata to reduce costly run-time calculations and/or table scans of large tables.
B. Combining data from multiple other tables in advance to avoid costly run-time joins
C. Pre-calculating and sorting costly data calculations to avoid runt-time system resource competition.
D. None of the above
E. Making tables more readable when no foreign key exists
F. All of the above

Answer: A,B,C

NEW QUESTION # 244
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