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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q631-Q636):

NEW QUESTION # 631
Logical abstraction entities become separate objects in the physical database design using one of two methods.

A. Subtype partition
B. Supertype partition
C. Supertype absorption
D. Subtype absorption
E. The DAMA Wheel

Answer: B,D

NEW QUESTION # 632
Which of the following activities is most likely to maintain bias in data analysis?

A. Working with external stakeholders to assess data quality
B. Using more data sets with same data
C. Using more data sets with diverse data sources
D. Re-baselining the data set after each period of analysis to remove assumptions
E. Remove sources of likely bias from data sets before analysis

Answer: B

NEW QUESTION # 633
OCR is the abbreviation for Optical Character Recognition.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 634
Identify indicative components of a Data Strategy.

A. Vision, business case, data models, employee goals
B. Vision, case studies, succession plans, functional requirements
C. Vision, business case, principles, goals, and measures
D. Vision, data invoice, payment receipts, confirmations
E. Vision, business surveys, employee performance goals

Answer: C

NEW QUESTION # 635
An organization has a legitimate interest in commercializing data. So why is the economic value of data a core concept of data handling ethics?

A. In owning data, we have a commitment to society to determine how value can be accessed and who can derive this value
B. Organizations dependent on information to provide product and services that meet Customer and Community needs, must ensure the ethical handling of customer information
C. An organization does not own its customer data so it is illegal to monetize the data
D. Data is used in every business process. The effectiveness of the process is dependent on the quality of the data it is dependent on
E. It is critical that customers are not exploited in ways that are detrimental to the customer in the long run

Answer: B

NEW QUESTION # 636
......

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