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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metadata Management Processes | 25% | - Metadata creation, capture, classification and maintenance - Metadata quality, validation and version control - Metadata governance, ownership and stewardship |
| Topic 2: Metadata Usage & Applications | 20% | - Metadata for data discovery, lineage and impact analysis - Metadata in data integration, warehousing and business intelligence - Metadata in data governance, data quality and compliance |
| Topic 3: Metadata Architecture & Modeling | 25% | - Metadata integration and interoperability - Relationship between metadata and data models - Metadata models, schemas and registries |
| Topic 4: Metadata Concepts & Fundamentals | 20% | - Metadata standards and frameworks (ISO/IEC 11179, DAMA-DMBOK) - Definition, purpose and value of metadata - Types of metadata: descriptive, structural, administrative, technical, business |
| Topic 5: Tools & Implementation | 10% | - Metadata repositories, catalogs and management tools - Implementation strategies and best practices |
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NEW QUESTION # 87
What benefit does metadata provide in supporting metadata-driven automation?
Answer: A
NEW QUESTION # 88
Reference metadata enhances:
Answer: D
NEW QUESTION # 89
Business metadata typically provides:
Answer: C
NEW QUESTION # 90
Metadata lineage can show:
Answer: D
NEW QUESTION # 91
Metadata quality can be measured by:
Answer: D
NEW QUESTION # 92
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