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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metadata Management Processes | 25% | - Metadata creation, capture, classification and maintenance - Metadata governance, ownership and stewardship - Metadata quality, validation and version control |
| Topic 2: Metadata Architecture & Modeling | 25% | - Relationship between metadata and data models - Metadata models, schemas and registries - Metadata integration and interoperability |
| Topic 3: Metadata Concepts & Fundamentals | 20% | - Definition, purpose and value of metadata - Metadata standards and frameworks (ISO/IEC 11179, DAMA-DMBOK) - Types of metadata: descriptive, structural, administrative, technical, business |
| Topic 4: 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 |
| Topic 5: Tools & Implementation | 10% | - Implementation strategies and best practices - Metadata repositories, catalogs and management tools |
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NEW QUESTION # 55
Which metadata describes transformation logic in ETL pipelines?
Answer: B
NEW QUESTION # 56
Metadata dictionary usage supports:
Answer: B
NEW QUESTION # 57
Why is metadata lineage especially valuable for big data systems?
Answer: A
NEW QUESTION # 58
The primary disadvantage of incomplete metadata documentation is:
Answer: B
NEW QUESTION # 59
Operational metadata is best defined as information providing:
Answer: A
NEW QUESTION # 60
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