DMF-1220 Practice Questions

A.  

Develop a Business Glossary

B.  

Perform Readiness Assessment

C.  

Develop Goals, Principles, and Policies

D.  

Charter Data Governance Council

E.  

Deliver a plan for mapping metadata

A.  

Data Ethics is concerned with the right way of dealing with data throughout its lifecycle, ensuring that it’s in line with the organization’s policies and standards

B.  

Data Handling Ethics is concerned with how to procure, store, manage, use, and dispose of data that are aligned with ethical principles

C.  

Data Ethics is concerned about respect of persons, beneficence, and justice

D.  

Data Handling Ethics is concerned with protecting individuals and society from inappropriate processing of data

E.  

Data Ethics is concerned with applying ethical principles to data management. Data Management needs to be aligned to the ethical statements of the organization

A.  

Data

B.  

Information

C.  

Transactions

D.  

Knowledge

E.  

Big data

F.  

Time

A.  

By creating a map of where the enterprise data is located in IT systems.

B.  

By providing a Business Glossary based look up facility for data definitions.

C.  

By ensuring that data is properly categorized, owned, understood, defined, documented and controlled

D.  

By highlighting the challenges of multiple data definitions within the enterprise

E.  

By performing an as-is data audit

A.  

Rapid response to critical data issues

B.  

The maturity level of the organization

C.  

Business leadership, sponsorship, and ownership

D.  

Well-documented policies

E.  

Definition of 10-11 principles

A.  

Data Govemance

B.  

Business Innovation

C.  

Business Integration

D.  

Chief Technology Office

E.  

Enterprise Architecture

A.  

TRUE

B.  

FALSE

A.  

Need to reuse the asset or earlier versions of the assets

B.  

Consequences of change to the enterprise or project

C.  

Cost of providing and updating the asset

D.  

Project impact, if change will have significant cost or schedule consequences

A.  

TRUE

B.  

FALSE

A.  

Ongoing business case for data governance

B.  

Obtaining buy-in from all stakeholders

C.  

Data governance roadmap

D.  

Monitoring the resistance

E.  

Business/Data Governance strategy map

F.  

Data governance metrics

A.  

Valid time

B.  

Transmitting time

C.  

Transaction time

D.  

Value time

A.  

TRUE

B.  

FALSE

A.  

Staging area

B.  

Data marts

C.  

Consistent object attributes

D.  

Operational data store (ODS)

E.  

Cubes

F.  

Central warehouse

A.  

Gigabyte

B.  

Petabyte

C.  

Perabyte

D.  

Exabyte

E.  

Tetrabyte

F.  

Terabyte

A.  

Data operations and system rationalization

B.  

Data quality and data governance

C.  

System rationalization and metadata management

D.  

Data architecture and data warehousing

E.  

Data architecture and data governance