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| Section | Weight | Objectives |
|---|---|---|
| Data Security | 10% | - Security principles - Privacy and protection - Access control |
| Data Quality | 12% | - Data cleansing - Assessment and improvement - Quality dimensions |
| Data Modeling and Design | 10% | - Conceptual, logical, physical models - Modeling standards and methods |
| Metadata Management | 8% | - Metadata repositories - Types of metadata - Metadata lifecycle |
| Data Storage and Operations | 8% | - Database operations - Data lifecycle management - Storage technologies |
| Data Management Concepts | 10% | - Data management roles and responsibilities - Definitions and principles - DAMA-DMBOK framework |
| Reference and Master Data | 5% | - Definitions and purpose - Management processes |
| Data Architecture | 12% | - Data modeling and design - Enterprise data architecture - Architecture components and layers |
| Data Integration and Interoperability | 10% | - Integration patterns - ETL and ELT processes - Data exchange standards |
| Data Governance | 15% | - Data stewardship - Governance framework and policies - Compliance and ethics |
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NEW QUESTION # 567
Content needs to be modular, structured, reusable and device and platform independent.
Answer: A
NEW QUESTION # 568
Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as
Answer: A
NEW QUESTION # 569
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.
Answer: A
NEW QUESTION # 570
The goals of data security include:
Answer: C,D,E
NEW QUESTION # 571
Corrective actions are implemented after a problem has occurred and been detected.
Answer: A
NEW QUESTION # 572
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