DMF-1220 Practice Test Questions

479 Questions


A System of Reference is an authoritative system where data consumers can obtain reliable data to support transactions and analysis, even if the information did not originate in the system reference.


A. TRUE


B. FALSE





A.
  TRUE

Metadata is described using three sets od categories, including:


A. Structural Metadata


B. Descriptive Metadata


C. Generic Metadata


D. Administrative metadata


E. Conceptual Metadata





A.
  Structural Metadata

B.
  Descriptive Metadata

D.
  Administrative metadata

Different levels of policy are required to govern behavior to enterprise security. For example:


A. Data security policy


B. Business Security Policy


C. IT security policy


D. Enterprise security policy


E. All of the above


F. None of the above





A.
  Data security policy

C.
  IT security policy

D.
  Enterprise security policy

Data professional should not balance the short-term versus long-term business interests.


A. TRUE


B. FALSE





B.
  FALSE

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. TRUE


B. FALSE





A.
  TRUE

The acronym BASE is made up of:


A. Basically available


B. Basically not available


C. Software state


D. Soft state


E. Eventual consistency


F. Everything considered





A.
  Basically available

D.
  Soft state

E.
  Eventual consistency

The deliverables in the data architecture context diagram include:


A. Data flows


B. Enterprise data


C. Implementation roadmap


D. Data Value Chains


E. None of the above


F. All of the above





F.
  All of the above

Data governance and IT governance are the same thing.


A. TRUE


B. FALSE





B.
  FALSE

SPARC published their three-schema approach to database management. The three key components were:


A. Internal


B. Logical


C. Generic


D. Conceptual


E. External





A.
  Internal

D.
  Conceptual

E.
  External

Dimensions of data quality include:


A. Validity


B. Privacy


C. Innovation


D. Accessibility


E. Currency


F. All of the above





A.
  Validity

B.
  Privacy

D.
  Accessibility

E.
  Currency

Examples of concepts that can be standardized within the data architecture knowledge area include:


A. Enterprise data models


B. System naming conventions


C. None of the above


D. Data security standards


E. Data quality rules


F. Tool standards





A.
  Enterprise data models

B.
  System naming conventions

F.
  Tool standards

Confirming and documenting understanding of different perspectives facilitate:


A. Formalization


B. Normalization


C. Scope definition


D. Knowledge retention/documentation





A.
  Formalization

C.
  Scope definition

D.
  Knowledge retention/documentation


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