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DAMA MD-1220 (Meta Data) exam is an industry-standard certification offered by the Data Management Association International (DAMA). Meta Data certification is designed for professionals who are involved in data management, data modeling, and metadata management. MD-1220 exam tests the candidates' knowledge and understanding of metadata concepts, principles, and best practices.
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DAMA MD-1220 Certification Exam is a comprehensive exam that covers a wide range of metadata management topics, including data modeling, data architecture, data governance, data quality, data integration, and data security. MD-1220 exam is intended for individuals who work in data management roles such as data architects, data analysts, data stewards, data quality analysts, and data governance professionals. Meta Data certification is also suitable for senior-level professionals who want to enhance their skills and knowledge of metadata management.
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DAMA MD-1220 (Meta Data) Certification Exam is a professional qualification designed for those who want to validate their understanding of metadata management principles and practices. DAMA International, the Data Management Association, is the organization behind the exam. It is a global non-profit professional association of data management professionals who are dedicated to promoting the understanding and practice of data management as a critical business function.
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DAMA MD-1220 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Metadata Lifecycle Management | - Creation, maintenance, and retirement of metadata
- Metadata quality and lineage management
|
| Topic 2: Metadata Technology and Tools | - Data catalog and lineage tools
- Metadata management tools and platforms
|
| Topic 3: Metadata Management Principles | - Types of metadata (business, technical, operational)
- Metadata concepts and definitions
|
| Topic 4: Metadata Architecture and Design | - Metadata repositories and catalogs
- Metadata integration in enterprise architecture
|
| Topic 5: Metadata Governance | - Roles and responsibilities in metadata governance
- Policies, standards, and stewardship
|