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| Section | Weight | Objectives |
|---|---|---|
| Metadata Architecture & Modeling | 25% | - Metadata integration and interoperability - Relationship between metadata and data models - Metadata models, schemas and registries |
| Metadata Management Processes | 25% | - Metadata governance, ownership and stewardship - Metadata quality, validation and version control - Metadata creation, capture, classification and maintenance |
| 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) |
| Metadata Usage & Applications | 20% | - Metadata for data discovery, lineage and impact analysis - Metadata in data governance, data quality and compliance - Metadata in data integration, warehousing and business intelligence |
| Tools & Implementation | 10% | - Metadata repositories, catalogs and management tools - Implementation strategies and best practices |
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NEW QUESTION # 15
Reference metadata often includes:
Answer: A
NEW QUESTION # 16
Metadata-driven automation supports:
Answer: D
NEW QUESTION # 17
Metadata that records the source system for each data field is part of:
Answer: A
NEW QUESTION # 18
What benefit does metadata provide in supporting metadata-driven automation?
Answer: C
NEW QUESTION # 19
Technical metadata typically includes:
Answer: A
NEW QUESTION # 20
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