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

A. TRUE

B. FALSE

The most informal enterprise data model is the most detailed data architecture design document.

A. TRUE

B. FALSE

Structural Metadata describe srealtionships within and among resource and enables identification and retrieval.

A. FALSE

B. TRUE

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

The operational data quality management procedures depend on the ability to measure and monitor the applicability of data.

A. FALSE

B. TRUE

Orchestration is the term used to describe how multiple processes are organized and executed in a system.

A. TRUE

B. FALSE

Most document programs have policies related to:

A. Scope and compliance audits

B. Proper destruction of records

C. Proper construction of records

D. Identification and protection of vital records

E. Partition tolerance

F. All of the above

Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.

A. Currency

B. Timeliness

C. Consistency

D. Completeness

Veracity refers to how difficult the data is to use or to integrate.

A. TRUE

B. FALSE

The second stage of Kotter’s eight stage process is:

A. Developing a vision and a strategy

B. Establishing a sense of urgency

C. Creating short term wins

D. Creating the guiding coalition

Bias refers to an inclination of outlook. Please select the types of data bias:

A. Data collection for pre-defined results

B. Hunch and search

C. Positive reinforcement

D. Context and Emotion

E. Biased use of data collected

F. Biased sampling methodology

The goals of Data Integration and Interoperability include:

A. Provide data securely, with regulatory compliance, in the format and timeframe needed.

B. Lower cost and complexity of managing solutions by developing shared models and interfaces.

C. Managing the availability of data throughout the data lifecycle

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

E. Identify meaningful events and automatically trigger alerts and actions.

F. Support business intelligence, analytics, master data management and operational efficiency efforts.