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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metadata Concepts & Fundamentals | 20% | - Definition, purpose and value of metadata - Types of metadata: descriptive, structural, administrative, technical, business - Metadata standards and frameworks (ISO/IEC 11179, DAMA-DMBOK) |
| Topic 2: Metadata Management Processes | 25% | - Metadata quality, validation and version control - Metadata governance, ownership and stewardship - Metadata creation, capture, classification and maintenance |
| Topic 3: Metadata Usage & Applications | 20% | - Metadata in data integration, warehousing and business intelligence - Metadata in data governance, data quality and compliance - Metadata for data discovery, lineage and impact analysis |
| Topic 4: Tools & Implementation | 10% | - Metadata repositories, catalogs and management tools - Implementation strategies and best practices |
| Topic 5: Metadata Architecture & Modeling | 25% | - Relationship between metadata and data models - Metadata integration and interoperability - Metadata models, schemas and registries |
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NEW QUESTION # 18
Which of the following is a key benefit of well-documented metadata?
Answer: A
NEW QUESTION # 19
Why is metadata lineage especially valuable for big data systems?
Answer: B
NEW QUESTION # 20
The governance scope of an MDM initiative should include:
Answer: B
NEW QUESTION # 21
Metadata lineage benefits data governance by:
Answer: B
NEW QUESTION # 22
Which metadata element is critical in resolving data conflicts between sources?
Answer: D
NEW QUESTION # 23
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