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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: Metadata Management Processes | 25% | - Metadata quality, validation and version control - Metadata governance, ownership and stewardship - Metadata creation, capture, classification and maintenance |
| Topic 3: Tools & Implementation | 10% | - Implementation strategies and best practices - Metadata repositories, catalogs and management tools |
| 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 Usage & Applications | 20% | - Metadata for data discovery, lineage and impact analysis - Metadata in data governance, data quality and compliance - Metadata in data integration, warehousing and business intelligence |
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NEW QUESTION # 26
A major benefit of metadata in analytics is:
Answer: B
NEW QUESTION # 27
What does metadata lineage allow organizations to trace?
Answer: A
NEW QUESTION # 28
What is the effect of poor quality metadata on reporting?
Answer: C
NEW QUESTION # 29
Which aspect of metadata supports impact analysis for proposed changes in a database?
Answer: B
NEW QUESTION # 30
Operational metadata is best defined as information providing:
Answer: B
NEW QUESTION # 31
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