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DAMA DMF-1220 - Data Management Fundamentals

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Total 725 questions

A deliverable in the data security context diagram is the data security architecture.

A.

TRUE

B.

FALSE

Release management is critical to batch development processes that grows new capabilities.

A.

TRUE

B.

FALSE

Data and enterprise architecture deal with complexity from two viewpoints:

A.

None of the above

B.

Implementation-orientated

C.

Quality-orientated

D.

Architecture-orientated

E.

Innovation-orientated

F.

Industry-orientated

Big data is often defined by three characteristics. They are:

A.

Size, Speed and Sensitivity

B.

Volume, Variety and Velocity

C.

Direction, Depth and Details

D.

Expansive, Engaged and Enormous

E.

Complexity, Compliance and Completeness

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

A.

Standard measurement methodologies

B.

Data security standards

C.

Data remediation standards and procedures

D.

None of the above

E.

Data quality rules

F.

Data quality rules

All organizations have the same Master Data Management Drivers and obstacles.

A.

TRUE

B.

FALSE

DBAs and database architects combine their knowledge of available tools with the business requirements in order to suggest the best possible application of technology to meet organizational goals.

A.

FALSE

B.

TRUE

How do data management professionals maintain commitment of key stakeholders to the data management initiative?

A.

Talking to a stakeholder when passing them in the passage

B.

Weekly email reports showing metrics on data management progress/lack thereof

C.

Rely on the stakeholder group to be self-sustaining

D.

This is not necessary, stakeholders signed up at the beginning of the program

E.

Continuous communication identifying and promoting the value of data and information assets to the organization

Product Master data can only focus on an organization’s internal product and services.

A.

TRUE

B.

FALSE

The target of organizational change is expedition.

A.

TRUE

B.

FALSE

Data can be assessed based on whether it is required by:

A.

Regulatory reporting

B.

Capturing policy

C.

Ongoing operations

D.

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

E.

Business policy

F.

Make the integration between data management and data analytics possible

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

Activities that drive the goals in the context diagram are classified into the following phases:

A.

Plan, Develop, Operate, Control

B.

Plan, Do, Check, Act

C.

Measure, Develop, Implement, Monitor, Improve

D.

Planning, Analysis, Design, Implementation & Maintenance

No recorded negative ethical outcomes does not mean that the organization is processing data ethically. Legislation cannot keep up with the evolution of the data environment so how do we stay compliant?

A.

Constant attention to ethical legislation and legal proceedings and international ethical bodies will enable the organization to recognize potential compliancy issues that can be addressed

B.

An active data quality and privacy assessment program can be used to detect ethical risks. Once identified, we can reduce the associated risks according to the organizations ethical values

C.

A healthy internal governance, risk and compliance function, including internal data audits will identify potential ethical issues

D.

An organization must develop and sustain a culture of ethical data handling to detect potential ethical risks. On identifying ethical risks, the onus is on the organization to modifying the processing to achieve acceptable data handling

E.

The best way to keep up with the evolution is to survey communities, customers and employees and what they consider to be appropriate use of the information

Data flows map and document relationships between data and locations where global differences occur.

A.

TRUE

B.

FALSE