What is DAMA DMF-1220 Exam
DAMA Data Management Fundamentals (DMF) is an exam developed by the Data Management Association (DAMA), a professional organization that certifies database administrators. The exam tests candidates in four areas: database design and implementation, SQL tuning, database security and performance management.
If you are looking for a career in data management, then this certification will help you to get a good job as it proves your knowledge and skills in this field. If you want to become an expert in this field, then you should aim at passing this exam. This certification can help you get better job opportunities as well as higher pay packages. DAMA DMF-1220 exam dumps are the best way to get certified and get highly paid desired jobs.
Reference: https://www.dama.org/cpages/cdmp-information
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For more information about the DAMA DMF-1220 Exam visit the following reference link:
DAMA DMF-1220 Exam Reference link
All the details of the DAMA DMF-1220 Exam format?
- Passing score: 70%
- Exam duration: 60
- Language: English
- Exam Length: 40 minutes
- Format: Multiple-choice Questions
DAMA DMF-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling and Design | 10% | - Conceptual, logical, physical models - Modeling standards and methods |
| Topic 2: Metadata Management | 8% | - Metadata repositories - Metadata lifecycle - Types of metadata |
| Topic 3: Data Security | 10% | - Access control - Privacy and protection - Security principles |
| Topic 4: Data Storage and Operations | 8% | - Data lifecycle management - Database operations - Storage technologies |
| Topic 5: Data Governance | 15% | - Governance framework and policies - Data stewardship - Compliance and ethics |
| Topic 6: Reference and Master Data | 5% | - Management processes - Definitions and purpose |
| Topic 7: Data Architecture | 12% | - Data modeling and design - Enterprise data architecture - Architecture components and layers |
| Topic 8: Data Integration and Interoperability | 10% | - Integration patterns - ETL and ELT processes - Data exchange standards |
| Topic 9: Data Management Concepts | 10% | - Data management roles and responsibilities - DAMA-DMBOK framework - Definitions and principles |
| Topic 10: Data Quality | 12% | - Data cleansing - Assessment and improvement - Quality dimensions |
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