Free download Data Management Fundamentals exam study material & DAMA DMF-1220 instant download dumps

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DAMA DMF-1220 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Security10%- Access control
- Security principles
- Privacy and protection
Topic 2: Metadata Management8%- Types of metadata
- Metadata repositories
- Metadata lifecycle
Topic 3: Data Modeling and Design10%- Modeling standards and methods
- Conceptual, logical, physical models
Topic 4: Data Quality12%- Quality dimensions
- Data cleansing
- Assessment and improvement
Topic 5: Reference and Master Data5%- Definitions and purpose
- Management processes
Topic 6: Data Governance15%- Governance framework and policies
- Data stewardship
- Compliance and ethics
Topic 7: Data Integration and Interoperability10%- ETL and ELT processes
- Integration patterns
- Data exchange standards
Topic 8: Data Management Concepts10%- Definitions and principles
- DAMA-DMBOK framework
- Data management roles and responsibilities
Topic 9: Data Architecture12%- Enterprise data architecture
- Architecture components and layers
- Data modeling and design
Topic 10: Data Storage and Operations8%- Database operations
- Data lifecycle management
- Storage technologies

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DAMA Data Management Fundamentals Sample Questions (Q313-Q318):

NEW QUESTION # 313
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.

Answer: A


NEW QUESTION # 314
Which of the following is one of the Data Architecture artifacts usually captured within development projects, and then standardized and managed by data architects?

Answer: B

Explanation:
The correct answer is C. DAMA states that data models and other Data Architecture artifacts are commonly captured within development projects and are then standardized and managed by data architects. This reflects the incremental nature of enterprise architecture: individual projects create useful data structures and specifications, while the architecture function evaluates which artifacts should become reusable enterprise assets. Data models are therefore the best answer because conceptual, logical, and physical models created during projects can be aligned with enterprise standards and incorporated into broader architectural repositories. An enterprise data model and a Data Architecture roadmap are important enterprise-level artifacts, but the question asks specifically for artifacts usually captured within development projects and subsequently standardized. "Company-wide architectural blueprints" is too general, while business models belong primarily to the business architecture domain.


NEW QUESTION # 315
Communication should start later in the process as too many inputs will distort the vision.

Answer: B


NEW QUESTION # 316
The loading of country codes into a CRM is a classic:

Answer: C


NEW QUESTION # 317
Value is the difference between the cost of a thing and the benefit derived from that thing.

Answer: B


NEW QUESTION # 318
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