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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Tools & Implementation | 10% | - Metadata repositories, catalogs and management tools - Implementation strategies and best practices |
| Topic 2: Metadata Concepts & Fundamentals | 20% | - Metadata standards and frameworks (ISO/IEC 11179, DAMA-DMBOK) - Types of metadata: descriptive, structural, administrative, technical, business - Definition, purpose and value of metadata |
| Topic 3: Metadata Management Processes | 25% | - Metadata governance, ownership and stewardship - Metadata quality, validation and version control - Metadata creation, capture, classification and maintenance |
| Topic 4: Metadata Architecture & Modeling | 25% | - Metadata models, schemas and registries - Relationship between metadata and data models - Metadata integration and interoperability |
| Topic 5: Metadata Usage & Applications | 20% | - Metadata in data governance, data quality and compliance - Metadata for data discovery, lineage and impact analysis - Metadata in data integration, warehousing and business intelligence |
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NEW QUESTION # 79
A documented transformation rule for a dataset is an example of:
Answer: D
NEW QUESTION # 80
Metadata enables which activity for data scientists?
Answer: A
NEW QUESTION # 81
Who is responsible for assigning stewardship in metadata records?
Answer: A
NEW QUESTION # 82
Metadata quality can be measured by:
Answer: B
NEW QUESTION # 83
Business metadata is essential for understanding:
Answer: A
NEW QUESTION # 84
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