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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Tools & Implementation | 10% | - Implementation strategies and best practices - Metadata repositories, catalogs and management tools |
| Topic 3: Metadata Management Processes | 25% | - Metadata governance, ownership and stewardship - Metadata creation, capture, classification and maintenance - Metadata quality, validation and version control |
| Topic 4: 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 5: Metadata Architecture & Modeling | 25% | - Metadata integration and interoperability - Relationship between metadata and data models - Metadata models, schemas and registries |
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NEW QUESTION # 82
Structural metadata predominately describes:
Answer: B
NEW QUESTION # 83
Metadata quality is compromised when:
Answer: C
NEW QUESTION # 84
Metadata that describes when and how often data is updated is called:
Answer: A
NEW QUESTION # 85
Which metadata attribute enables historical tracking of alterations to data structures?
Answer: C
NEW QUESTION # 86
Which metadata supports self-service analytics for business users?
Answer: C
NEW QUESTION # 87
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