DMF-1220 Exam Dumps - Data Management Fundamentals

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Question # 25

The goals of data storage and operations include:

Managing performance of data assets

Capture and document explicit knowledge about an organizationâ€™s data and systems

Managing the availability of data throughout the data lifecycle

Provide the starting point for customizations, integration or even replacement of an application

Managing the performance of data transactions

Make the integration between data management and data analytics possible

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Question # 26

Lack of automated monitoring represents serious risks, including compliance risk.

TRUE

FALSE

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Question # 27

Some common data quality business rule types are:

Definitional conformance

Format compliance

Range conformance

Mapping conformance

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Question # 28

Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.

FALSE

TRUE

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Question # 29

Snowflaking is the term given to normalizing the flat, single-table, dimensional structure in a star schema into the respective component hierarchical or network structures.

TRUE

FALSE

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Question # 30

Data Integration and Interoperability is dependent on these other areas of data management:

Metadata

Data architecture

Data governance

Data security

Data modelling and design

Data storage and operations

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Question # 31

Examples of transformation include:

Format changes, structure changes, replication conversion, re-duplication anddata ordering

Application changes, infrastructure changes, software conversion, de-duplicationand re-ordering

Data modelling changes, structure changes, metric conversion, de-duplicationand reordering

Format changes, structure changes, semantic conversion, de-duplication and re-ordering

Organisation changes, location changes, business strategy conversion, down-sizing and outsourcing

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Question # 32

ETL is the basic process which is central to all areas in Data Integration and Interoperability. It is an abbreviation for extract, transition and load.

TRUE

FALSE

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