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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA DMF-1220 Test Registration & DMF-1220 Knowledge Points

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DAMA Data Management Fundamentals Sample Questions (Q568-Q573):

NEW QUESTION # 568
The IBM Data Governance Council model is organized around four key categories. Select the answer that is not a category.

A. Enablers
B. Outcomes
C. Supporting disciplines
D. Core disciplines
E. System Lifecycles

Answer: E

NEW QUESTION # 569
A controlled vocabulary is a defined list of explicitly allowed terms used to index, categorize, tag, sort and retrieve content through browsing and searching.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 570
Data for Big Data ingestion can also be called the data lake. This needs to be carefully managed, or the data lake will become:

A. A biased report
B. A level of data not usable by Data Scientists
C. A data model
D. An organizational statistic
E. A data swamp

Answer: E

Explanation:
Unmanaged data lakes become data swamps, rendering data unusable. The DAMA-DMBOK states: "Without proper management, a data lake can become a data swamp, where data is disorganized, ungoverned, and unusable by data scientists" (DMBOK2, Chapter 4: Data Architecture, p. 161). Option E is correct.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161.

NEW QUESTION # 571
Developing complex event processing solutions require:

A. Integration testing for subsequent logging requirements
B. Processing of real-time data stream to fully populate a predictive model and identify meaningful events
C. Executing the triggered action in response to the prediction
D. Preparation of historical data and pre-population of a predictive model
E. None of the above
F. All of the above

Answer: B,C,D

NEW QUESTION # 572
The operational data quality management procedures depend on the ability to measure and monitor the applicability of data.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 573
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