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| Section | Weight | Objectives |
|---|---|---|
| Metadata Concepts & Fundamentals | 20% | - Metadata standards and frameworks (ISO/IEC 11179, DAMA-DMBOK) - Types of metadata: descriptive, structural, administrative, technical, business - Definition, purpose and value of metadata |
| Metadata Management Processes | 25% | - Metadata governance, ownership and stewardship - Metadata creation, capture, classification and maintenance - Metadata quality, validation and version control |
| Metadata Architecture & Modeling | 25% | - Metadata integration and interoperability - Relationship between metadata and data models - Metadata models, schemas and registries |
| Tools & Implementation | 10% | - Implementation strategies and best practices - Metadata repositories, catalogs and management tools |
| Metadata Usage & Applications | 20% | - Metadata in data governance, data quality and compliance - Metadata in data integration, warehousing and business intelligence - Metadata for data discovery, lineage and impact analysis |
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NEW QUESTION # 59
Metadata enables which activity for data scientists?
Answer: D
NEW QUESTION # 60
Business metadata is critical for:
Answer: C
NEW QUESTION # 61
Metadata quality is compromised when:
Answer: D
NEW QUESTION # 62
Reference metadata often includes:
Answer: C
NEW QUESTION # 63
Business metadata is essential for understanding:
Answer: D
NEW QUESTION # 64
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