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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metadata Management Processes | 25% | - Metadata quality, validation and version control - Metadata governance, ownership and stewardship - Metadata creation, capture, classification and maintenance |
| 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% | - Types of metadata: descriptive, structural, administrative, technical, business - Definition, purpose and value of metadata - Metadata standards and frameworks (ISO/IEC 11179, DAMA-DMBOK) |
| Topic 4: Tools & Implementation | 10% | - Implementation strategies and best practices - Metadata repositories, catalogs and management tools |
| Topic 5: 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 # 101
Metadata-driven automation supports:
Answer: B
NEW QUESTION # 102
Business metadata typically provides:
Answer: A
NEW QUESTION # 103
Which term best describes metadata that tracks changes over time to a dataset?
Answer: D
NEW QUESTION # 104
A metadata repository should always be:
Answer: C
NEW QUESTION # 105
Business metadata is directly utilized by:
Answer: B
NEW QUESTION # 106
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