A. Source Hub
B. Two-Speed Hub
C. SOA
D. Consolidated Hub
E. Registry
A. No. each organization needs to develop their own standards based on needs
B. Yes. at the very least they should provide guidance
A. Data Quality and Security Incident Metrics
B. Data model Validation and Measurement
C. Data Quality and Data Consumption Trends in implementation and Access Control
D. Value and sustainability
A. System
B. Agile
C. Project
D. Software
E. Data-centric
A. A degree of governance
B. Automation of all process tasks
C. Reference data
D. A separate data steward
E. Data enrichment
A. Publishing content to the MDM environment
B. Vetting of business entities and data attributes by Data Governance process
C. Securing funding for the MDM effort
D. Designing the Enterprise Data Model
E. Subscribing content from the MDM environment
A. No. master data for an industry is always standardized
B. Yes. each industry and/or company has their own core master data
C. No. master data is always the same kind of information
A. True
B. False
A. Each variable to be matched is assigned a weight based on its discriminating power
B. A score is assigned based on weight and degree of match
C. Individual attribute matching scores arc used to create a match probability percentage.
D. All answers are correct
E. Following the matching process there are typically records requiring manual review and decisioning.