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DAMA DMF-1220 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Security
Topic 2: Metadata Management
Topic 3: Data Warehousing and Business Intelligence
Topic 4: Data Integration and Interoperability
Topic 5: Data Modeling and Design
Topic 6: Data Quality Management
Topic 7: Reference and Master Data
Topic 8: Data Storage and Operations
Topic 9: Document and Content Management
Topic 10: Data Governance
Topic 11: Data Architecture

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DAMA Data Management Fundamentals Sample Questions (Q722-Q727):

NEW QUESTION # 722
Metadata is described using a different set of categories, not including:

Answer: A


NEW QUESTION # 723
A business case for adding a new Master Data Management solution is dependent on achieving greater value from:

Answer: B

Explanation:
A Master Data Management business case must demonstrate that the value obtained from centrally coordinating shared enterprise data exceeds the additional cost and complexity of implementing and operating the MDM capability. Master data-such as customer, product, employee, supplier, or location information- is commonly duplicated across applications. Without coordination, organizations incur reconciliation, integration, data quality, and governance costs while different systems may maintain conflicting versions of important entities. MDM establishes controlled, authoritative and reconciled shared data and reduces these inconsistencies. DAMA guidance emphasizes that shared master data belongs to the organization rather than to an individual application or department and highlights the importance of coordinated management. MDM does not necessarily eliminate every operational source system, nor is its principal purpose simply to "mine" golden records. The economic justification is therefore the balance between centralized coordination benefits and integration/management costs.


NEW QUESTION # 724
One of the deliverables in the Data Integration and Interoperability context diagram is:

Answer: D


NEW QUESTION # 725
Managing business party Master Data poses these unique challenges:

Answer: B,C,D


NEW QUESTION # 726
Through similarity analysis, slight variation in data can be recognized and data values can be consolidated. Two basic approaches, which can be used together, are:

Answer: C,D


NEW QUESTION # 727
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