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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metadata Architecture & Modeling | 25% | - Relationship between metadata and data models - Metadata models, schemas and registries - Metadata integration and interoperability |
| Topic 2: Tools & Implementation | 10% | - Implementation strategies and best practices - Metadata repositories, catalogs and management tools |
| Topic 3: 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 4: 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 5: Metadata Management Processes | 25% | - Metadata quality, validation and version control - Metadata governance, ownership and stewardship - Metadata creation, capture, classification and maintenance |
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NEW QUESTION # 46
Why is metadata lineage especially valuable for big data systems?
Answer: B
NEW QUESTION # 47
Technical metadata would typically document:
Answer: B
NEW QUESTION # 48
What is the most appropriate use of metadata in a data governance program?
Answer: A
NEW QUESTION # 49
Metadata allows organizations to:
Answer: C
NEW QUESTION # 50
Which aspect of metadata supports impact analysis for proposed changes in a database?
Answer: C
NEW QUESTION # 51
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