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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q260-Q265):

NEW QUESTION # 260
In defining a Data Security Policy, what role should Data Governance play?

A. Review and approve the Data Security Policy
B. Write the Data Security Policy
C. Have no role in the Data Security Policy
D. Send all Data Security questions to the legal department
E. Own and maintain the Data Security Policy

Answer: A

Explanation:
Data governance ensures policies align with data strategy but does not write or own security policies. The DAMA-DMBOK states: "Data governance should review and approve data security policies to ensure alignment with governance objectives, while security teams typically write and maintain these policies" (DMBOK2, Chapter 3: Data Governance, p. 119). Option D is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 4.1, p. 119.

NEW QUESTION # 261
What areas should you consider when constructing an organization's Data Governance operating model?

A. What is their Business Model (decentralized vs. centralized, local vs. international, etc.)
B. Impact of regulation. Highly regulated organizations will have a different mindset and operating model of Data Governance than those less regulated
C. All of these
D. Cultural factors. Governance strategy will need to advocate for an operating model that fits with organizational culture, while still progressing change
E. Value of the data to the organization. Is their Data a crucial commodity (do they sell the data)

Answer: C

NEW QUESTION # 262
Data Governance includes developing alignment of the data management approach with organizational touchpoints outside of the direct authority of the Chief Data Officer. Select the example of such a touchpoint.

A. Business Glossary
B. Records Management
C. Requirements
D. Regulatory Compliance
E. Content Management

Answer: D

NEW QUESTION # 263
The purpose of data governance is to ensure that data is managed properly, according to policies and best practices. Data governance is focused on how decisions are made about data and how people and processes are expected to behave in relation to data.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 264
Which of the following is the best example of a documented data quality rule?

A. The transaction data from all satellite systems needs to reflect actual customer balances each morning
B. Each transaction data file holding customer transactions must be kept confidential to the authorized users within the operations team
C. Every transaction recorded must be processed by 12:05 a.m. by authorized personnel who will validate balances and data delivery to branches
D. All transaction data in the core banking systems needs to be processed at 12:05 a.m. each day regardless of the business calendar day and time zone
E. The transaction data from all satellite systems needs to be ready by 12:05 a.m. in order to feed the overnight batching window, to ensure branches have access to actual customer balances

Answer: E

Explanation:
Option D is the strongest documented data quality rule because it defines the relevant data, establishes a measurable timeliness requirement, and links the requirement directly to a business need. The transaction data must be available by 12:05 a.m. , allowing objective measurement of whether the timeliness criterion has been satisfied, while the reason for that requirement-ensuring branches can access current balances-is explicit. DAMA Data Quality Management emphasizes defining requirements and business rules that allow data quality to be measured against business expectations. Option A is primarily a security/confidentiality requirement. Options B and C describe processing procedures rather than the quality state required of the data.
Option E expresses an important accuracy objective but lacks the same precise, operationally measurable criterion. A documented Data Quality rule should enable conformance to be objectively measured.

NEW QUESTION # 265
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