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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Storage and Operations | 8% | - Data lifecycle management - Storage technologies - Database operations |
| Topic 2: Metadata Management | 8% | - Metadata repositories - Metadata lifecycle - Types of metadata |
| Topic 3: Data Architecture | 12% | - Enterprise data architecture - Architecture components and layers - Data modeling and design |
| Topic 4: Data Quality | 12% | - Assessment and improvement - Data cleansing - Quality dimensions |
| Topic 5: Data Security | 10% | - Privacy and protection - Security principles - Access control |
| Topic 6: Reference and Master Data | 5% | - Definitions and purpose - Management processes |
| Topic 7: Data Governance | 15% | - Governance framework and policies - Compliance and ethics - Data stewardship |
| Topic 8: Data Integration and Interoperability | 10% | - ETL and ELT processes - Data exchange standards - Integration patterns |
| Topic 9: Data Modeling and Design | 10% | - Modeling standards and methods - Conceptual, logical, physical models |
| Topic 10: Data Management Concepts | 10% | - DAMA-DMBOK framework - Data management roles and responsibilities - Definitions and principles |
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NEW QUESTION # 60
The process of translating plain text into complex codes to hide privileged information is:
Answer: A
Explanation:
The correct answer is B. Encryption is the process of converting readable plain text into encoded or ciphered form so that unauthorized parties cannot understand the protected information. DAMA describes encryption as translating plain text into complex codes to hide privileged information and also notes its use in supporting secure transmission and identity verification. Encrypted information normally requires an appropriate key or algorithm to recover the original readable value. Elimination means removing information, not protecting it through transformation. Encapsulation concerns packaging data or functionality and does not inherently conceal sensitive content. Enhancement improves or augments data, while exaggeration has no defined security function. Because the objective is specifically to transform plain text into unreadable coded information while preserving the ability of authorized parties to recover it, encryption is the precise Data Security mechanism.
NEW QUESTION # 61
In data modelling practice, entities are linked by:
Answer: D
NEW QUESTION # 62
Consistent input data reduces the chance of errors in associating records. Preparation processes include:
Answer: A,B,C
NEW QUESTION # 63
The best way to manage a Data Architecture roadmap is by using:
Answer: B
Explanation:
Integrated strategic reviews provide the strongest mechanism for maintaining a Data Architecture roadmap because architecture must continually remain aligned with enterprise strategy, changing business requirements, technology conditions, dependencies, and investment priorities. DAMA-DMBOK describes an Enterprise Data Architecture roadmap as a three-to-five-year development path and states that it must be integrated into the overall Enterprise Architecture roadmap. Regular integrated strategic review therefore enables changes in business capabilities, dependencies, resources, milestones, and architectural priorities to be evaluated together. An annual review alone can allow the roadmap to become outdated. Senior management buy-in is essential for sponsorship but is not itself a roadmap-management process. Peer review assesses professional quality, while results evaluation focuses primarily on outcomes. Integrated strategic reviews provide the ongoing governance mechanism needed to keep the roadmap relevant.
NEW QUESTION # 64
Please select valid modelling schemes or notations
Answer: A,B,C,D,F
NEW QUESTION # 65
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