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The DAMA DMF-1220 certification exam offers a great opportunity to advance your career. With the Data Management Fundamentals certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the Data Management Fundamentals (DMF-1220) exam you can stand out in a crowded job market. The DMF-1220 certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

DAMA DMF-1220 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Quality12%- Quality dimensions
- Data cleansing
- Assessment and improvement
Topic 2: Data Integration and Interoperability10%- Integration patterns
- Data exchange standards
- ETL and ELT processes
Topic 3: Data Security10%- Security principles
- Access control
- Privacy and protection
Topic 4: Data Architecture12%- Architecture components and layers
- Data modeling and design
- Enterprise data architecture
Topic 5: Data Management Concepts10%- Data management roles and responsibilities
- DAMA-DMBOK framework
- Definitions and principles
Topic 6: Data Modeling and Design10%- Conceptual, logical, physical models
- Modeling standards and methods
Topic 7: Data Governance15%- Data stewardship
- Governance framework and policies
- Compliance and ethics
Topic 8: Reference and Master Data5%- Management processes
- Definitions and purpose
Topic 9: Data Storage and Operations8%- Storage technologies
- Data lifecycle management
- Database operations
Topic 10: Metadata Management8%- Metadata repositories
- Metadata lifecycle
- Types of metadata

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DAMA Data Management Fundamentals Sample Questions (Q727-Q732):

NEW QUESTION # 727
ISO 8000 will describe the structure and organization of data quality management, including:

Answer: B,C,E,F


NEW QUESTION # 728
If the target system has more transformation capability than either the source or the intermediary application system, the order of processes may be switched to ELT - Extract Load Tranform.

Answer: A


NEW QUESTION # 729
Obfuscating or redacting data is the practice of making information anonymous ot removing sensitive information. Risks are present in the following instances:

Answer: B,D,E


NEW QUESTION # 730
Information gaps represent enterprise liabilities with potentially profound impacts on operational effectiveness and profitability.

Answer: A


NEW QUESTION # 731
Hierarchical database model is the newest database model

Answer: B


NEW QUESTION # 732
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