Issue management is the process for identifying, quantifying, prioritizing and resolving data governance related issues, including:

A. Contracts

B. Authority

C. Compliance

D. All of the above

E. Conflicts

F. Data Efficiency

Data Storage and Operations: The design, implementation and support of stored data to maximize its value.

A. TRUE

B. FALSE

The data warehouse and marts differ from that in applications as the data is organized by subject rather than function.

A. TRUE

B. FALSE

Customer relationship management systems manage Master Data about customers.

A. TRUE

B. FALSE

The roles associated with enterprise data architecture are data architect, data modellers and data stewards.

A. TRUE

B. FALSE

Data warehouses are often loaded and serviced by a nightly batch window.

A. FALSE

B. TRUE

The minority of operational metadata is generated as data is processed.

A. TRUE

B. FALSE

Test environments serve many uses:

A. Quality Assurance Testing (QA)

B. Integration Testing

C. User Acceptance Testing (UAT)

D. Performance Testing

E. All of the above

F. None of the above

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

Metadata management solutions include architectural layers including:

A. Metadata control and management

B. Metadata Marketing

C. Metadata usage

D. Metadata integration

E. Metadata Sales

F. Metadata delivery

Data science depends on:

A. Information alignment and analysis

B. Presentation of findings and data insights

C. Rich data sources

D. Information delivery

Primary deliverables of the Data Warehouse and Business Intelligence context diagram include:

A. Data Products

B. Data Stewardship

C. Governance Activities

D. Release Plan

E. Load Tuning Activities

F. BI Activity Monitoring