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DMF-1220 Exam Dumps - Data Management Fundamentals

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Question # 177

Corporate Information Factory (CIF) components include:

A.

Data marts

B.

Objectives

C.

Operational Reports

D.

Reduction of risk

E.

Staging Area

F.

Contributions to business objectives

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Question # 178

Which of these is NOT a component of an enterprise wide data strategy?

A.

A business Case for better data management

B.

A description of data management roles & organizations

C.

An outline of 'as is' and 'to be' technical architectures

D.

A data management roadmap, highlighting major activities

E.

A vision statement for data management

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Question # 179

A data governance strategy defines the scope and approach to governance efforts. Deliverables include:

A.

Charter

B.

Operating framework and accountabilities

C.

Implementation roadmap

D.

Plan for operational success

E.

All of the above

F.

None of the above

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Question # 180

The most informal enterprise data model is the most detailed data architecture design document.

A.

TRUE

B.

FALSE

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Question # 181

The list of V’s include:

A.

Volatility

B.

Volume

C.

Veracity

D.

Viscosity

E.

Variety

F.

Validity

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Question # 182

Please select the correct General Accepted Information Principles:

A.

Asset Principle

B.

Audit Principle

C.

Due Diligence Principle

D.

Going Concern Principle

E.

Ethical Principle

F.

All of the above

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Question # 183

The Zachman Framweork’s communication interrogative columns provides guidance on defining enterprise architecture. Please select answer(s) that is(are) coupled correctly:

A.

What -> The inventory Column

B.

What -> The entity column

C.

When -> The timing column

D.

Why -> The motivation column

E.

Who -> The responsibility column

F.

How -> The process column

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Question # 184

Data for Big Data ingestion can also be called the data lake. This needs to be carefully managed, or the data lake will become:

A.

A data model

B.

An organizational statistic

C.

A biased report

D.

A level of data not usable by Data Scientists

E.

A data swamp

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