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DMF-1220 Exam Dumps - Data Management Fundamentals

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Question # 145

Enterprise service buses (ESB) are the data integration solution for near real-time sharing of data between many systems, where the hub is a virtual concept of the standard format or the canonical model for sharing data in the organization.

A.

FALSE

B.

TRUE

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Question # 146

Data science merges data mining, statistical analysis, and machine learning with the integration and data modelling capabilities, to build predictive models that explore data content patterns.

A.

FALSE

B.

TRUE

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Question # 147

When developing a Data Governance operating framework, what areas should be considered?

A.

Impacts of regulations, the value of data to the organization, data modelling skills, & third-party data policies

B.

Data inputs, context diagrams, methods and procedures

C.

Data management skills, budget considerations & organization strategy

D.

Cultural factors, the role of a data steward, & third-party data policies

E.

A model that documents the business, cultural factors, the impacts of regulations, and the value of data to the organization

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Question # 148

Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.

A.

TRUE

B.

FALSE

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Question # 149

Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.

A.

TRUE

B.

FALSE

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Question # 150

Data modelling tools are software that automate many of the tasks the data modeller performs.

A.

FALSE

B.

TRUE

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Question # 151

What position should be responsible for leading the Data Governance Council (DGC)?

A.

Chief Data Steward or Chief Data Officer

B.

Chief Information Officer or Chief Technology Officer

C.

DGC Chair should rotate among executive positions

D.

Chief Data Architect or Chief Data Modeler

E.

Any executive can chair the DGC

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Question # 152

The creation of overly complex enterprise integration over time is often a symptom

of:

A.

Multiple data warehouses

B.

Multiple integration technologies

C.

Multiple metadata tags

D.

Multiple application coding languages

E.

Multiple data owners

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