A.Consistency

B.Internal use only

C.Restricted confidential

D.Confidential

E.System development

F.None of the above

A.Error logs

B.Purge criteria

C.Failure logs

D.Schedule anomalies

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

B.Make the integration between data management and data analytics possible

C.Provide a common vocabulary around data

D.Serve as a primary communication tool during projects

E.Provide the organisation with clear system of the architecture

F.Capture and document explicit knowledge about an organization's data and systems

A.Yes, older transactions do not have to be removed because with the Cloud there is unlimited database storage

B.No, updates should always be made directly via data entry or through a specific batch interface based on operator-entered information partly because of regulatory reporting and archiving

C.Yes, since Standards Bodies typically supply reference data, the enterprise can automatically update when a new code or value is received

D.No, but an enterprise can use program logic to do updates as there is little potential for problems to occur with reference data

E.Yes, you do not have to worry about archived data with reference data so tables can be updated automatically

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

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

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

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

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