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Inputs in the reference and master data context diagram include:

A.

None of the above

B.

Business Drivers

C.

Business model

D.

Data Glossary

E.

Cultural Drivers

F.

All of the above

SOR Stands for:

A.

Service of Record

B.

System of Record

C.

System on Record

D.

Service over Record

Data management professionals who understand formal change management will be more successful in bringing about changes that will help their organizations get more value from their data. To do so, it is important to understand:

A.

The triggers for effective change

B.

Data architecture

C.

How people experience changes

D.

Data security

E.

The barriers to change

F.

Why change fails

One of the first steps in a master data management program is to:

A.

Decommission similar data collection systems

B.

Review data security protocols

C.

Secure funding for 20 years of operations

D.

Build multiple data marts

E.

Evaluate and assess data sources

Business metadata focuses largely on the content and condition of the data and includes details related to data governance.

A.

TRUE

B.

FALSE

The four main types of NoSQL databases are:

A.

Document

B.

Row-orientated

C.

Graph

D.

Strategic

E.

Key-value

F.

Column-orientated

Data access control can be organized at an individual level or group level, depending on the need.

A.

TRUE

B.

FALSE

Please select the correct name for the LDM abbreviation

A.

Logical Data Model

B.

Logical Dimensional Model

C.

Lifecycle Data Model

D.

Lifecycle Dimensional Model

Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.

A.

FALSE

B.

TRUE

If data is not integrated with care it presents risk for unethical data handling. These ethical risks intersect with fundamental problems in data management including: Limited knowledge of data’s origin and lineage; Data of poor quality; Unreliable Metadata; and Documentation of error remediation.

A.

TRUE

B.

FALSE

What techniques should be used and taught to produce the required ethical data handling deliverables?

A.

Change, Communication and training techniques need to be established

B.

A privacy impact assessment (PIA) is critical to ensuring that we are adhering to ethical data management

C.

Do an ethical impact assessment framework for all projects and activities involved in data management

D.

Due to fact that ethics are constantly changing we need to constantly affirm the organizations ethic statements on an annual basis

E.

Data Governance should define the set of ethical practices that are good for the organization

Oversight for the appropriate handling of data falls under both Data Governance and Legal Counsel. What are they NOT required to do?

A.

Data Governance and Legal Counsel are required to reduce the risk of ethical impropriety by making sure employees know of their obligations

B.

Data Governance must set standards and policies for and provide insight of data handling practices

C.

Data Governance is required to review plans and decisions proposed by Business Intelligence, Analytics, and Data Science studies

D.

Data Governance and Legal Counsel are required to keep up-to-date on legal changes

E.

Legal Counsel is required to audit their organizations on ethical compliance

Issue management is the process for identifying, quantifying, prioritizing, and resolving Data Governance issues. Which of the following are areas where that issues might arise:

A.

Contract negotiations regarding data sharing & resolution of data quality issues

B.

Documenting accounting procedures

C.

Documenting physical assets

D.

Authority and decision rights Change management escalations Meeting Compliance requirements

E.

Conformance issues related to policies, standards and principles

What is one of the most important things about collecting data?

A.

To share the data across the organization

B.

To keep data away from the public

C.

To resolve many-to-many relationships

D.

To collect as much data as possible into the data repository

E.

To keep data for each department separate because no one needs all the data

The first two steps in the data science process are:

A.

Define Big Data data strategy & Business Need(s)

B.

Choose Data Sources

C.

Develop Data Science Hypotheses and Mehods

D.

Acquire & Ingest Data source(s)