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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q441-Q446):

NEW QUESTION # 441
Consistent input data reduces the chance of errors in associating records. Preparation processes include:

A. Enrichment
B. Standardization
C. Database management
D. Validation

Answer: A,B,D

NEW QUESTION # 442
Because Data Governance activities require coordination across functional areas, the DG program must establish an ___________ that defines accountabilities and intersections.

A. Organization
B. Alliance
C. Operating framework
D. Architecture framework
E. Enterprise-wide coalition

Answer: C

NEW QUESTION # 443
Following the rollout of a data issue process, there have been no issues recorded in the first month. The reason for this might be:

A. The denial of overtime requests
B. There are no data issues in the enterprise
C. Staff staying back late to enter the issues into the system
D. A lack of credibility in the Data Governance process to really affect changes
E. The automatic deletion of all issues in the database

Answer: D

NEW QUESTION # 444
GDPR and PIPEDA are examples of:

A. Data program rules
B. Data protection regulations
C. Content management systems
D. Global data modelling standards
E. Primary information parsing algorithms

Answer: B

NEW QUESTION # 445
What is the main purpose of developing a Data Architecture Roadmap?

A. To manage the data dependencies that require active management
B. To help forward-looking decision making
C. To help the management of the organization to see the trade-offs
D. To ensure that projects are aligned with business needs and opportunities
E. To formulate a plan to address architectural problems in the business

Answer: D

NEW QUESTION # 446
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