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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q499-Q504):

NEW QUESTION # 499
Which of the following is a Data Quality principle?

A. All of these
B. Prevention
C. Standards Driven
D. Criticality
E. Governance

Answer: A

Explanation:
Data quality principles encompass multiple aspects, including prevention, governance, and standards-driven approaches, as well as considering criticality in prioritizing efforts. The DAMA-DMBOK states: "Data quality principles include prevention (proactive measures to avoid errors), governance (oversight and accountability), standards-driven processes (consistency through defined rules), and criticality (prioritizing based on business impact)" (DMBOK2, Chapter 7: Data Quality, p. 263). Since all listed options are principles, E is correct.
Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 2.2, p. 263.

NEW QUESTION # 500
Disciplines within the enterprise architecture practice does not include:

A. Information architectureService Architecture
B. Application architecture
C. Business architecture
D. Technology architecture

Answer: A

NEW QUESTION # 501
Which of the following activities is NOT a way that Enterprise Data Architecture influences the scope boundaries of projects?

A. Providing enterprise data requirements for projects
B. Performing design reviews to ensure support of long-term organisational strategy
C. Ensuring sufficient data replication controls are in place
D. Ensuring enterprise business processes are effectively documented
E. Enforcing Data Architecture standards

Answer: D

Explanation:
Ensuring that enterprise business processes are effectively documented is primarily a Business Architecture or business process management responsibility rather than a direct mechanism through which Enterprise Data Architecture controls project scope. DAMA-DMBOK specifically identifies several ways Data Architecture influences project and system-release boundaries: defining enterprise data requirements for projects, reviewing project data designs against long-term architecture, determining data-lineage impacts, controlling data replication, enforcing Data Architecture standards, and guiding data technology decisions. Options A, B, D, and E therefore correspond directly to Data Architecture responsibilities. Business processes certainly interact with data and influence data requirements, but documenting those processes is not listed as one of the Data Architecture mechanisms for controlling project scope. For that reason, option C is the required exception.

NEW QUESTION # 502
Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 503
Inputs in the data modelling and design context diagram include:

A. Data standards
B. Data sets
C. Enterprise taxonomy
D. Data architecture
E. Systems Architecture
F. Data Management Architecture

Answer: A,B,C,D

NEW QUESTION # 504
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