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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metadata Management | 8% | - Types of metadata - Metadata lifecycle - Metadata repositories |
| Topic 2: Data Quality | 12% | - Quality dimensions - Assessment and improvement - Data cleansing |
| Topic 3: Data Storage and Operations | 8% | - Storage technologies - Data lifecycle management - Database operations |
| Topic 4: Data Modeling and Design | 10% | - Modeling standards and methods - Conceptual, logical, physical models |
| Topic 5: Data Architecture | 12% | - Enterprise data architecture - Data modeling and design - Architecture components and layers |
| Topic 6: Data Security | 10% | - Access control - Security principles - Privacy and protection |
| Topic 7: Data Management Concepts | 10% | - DAMA-DMBOK framework - Data management roles and responsibilities - Definitions and principles |
| Topic 8: Data Integration and Interoperability | 10% | - ETL and ELT processes - Data exchange standards - Integration patterns |
| Topic 9: Reference and Master Data | 5% | - Definitions and purpose - Management processes |
| Topic 10: Data Governance | 15% | - Governance framework and policies - Compliance and ethics - Data stewardship |
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NEW QUESTION # 366
Business metadata focuses largely on the content and condition of the data and includes details related to data governance.
Answer: A
NEW QUESTION # 367
Characteristics that minimise distractions and maximise useful information include, but not limited to, consistent object attributes
Answer: A
NEW QUESTION # 368
The Zachman Framweork's communication interrogative columns provides guidance on defining enterprise architecture. Please select answer(s) that is(are) coupled correctly:
Answer: A,B,D,E,F
NEW QUESTION # 369
Inputs in the reference and master data context diagram include:
Answer: B,D
NEW QUESTION # 370
Business Intelligence, among other things, refer to the technology that supports this kind of analysis.
Answer: A
NEW QUESTION # 371
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