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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 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 3: Metadata Architecture & Modeling | 25% | - Metadata integration and interoperability - Relationship between metadata and data models - Metadata models, schemas and registries |
| Topic 4: Metadata Usage & Applications | 20% | - Metadata in data integration, warehousing and business intelligence - Metadata for data discovery, lineage and impact analysis - Metadata in data governance, data quality and compliance |
| Topic 5: Tools & Implementation | 10% | - Metadata repositories, catalogs and management tools - Implementation strategies and best practices |
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NEW QUESTION # 116
A metadata glossary enables:
Answer: A
NEW QUESTION # 117
Which metadata would you use to identify business-critical data assets?
Answer: A
NEW QUESTION # 118
A data dictionary provides definitions for:
Answer: B
NEW QUESTION # 119
A master data management system relies on which metadata type to distinguish entities?
Answer: B
NEW QUESTION # 120
What does metadata enable in data stewardship processes?
Answer: B
NEW QUESTION # 121
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