Data quality issues cannot emerge at any point in the data lifecycle.

A. FALSE

B. TRUE

Typically, DW/BI projects have three concurrent development tracks, including:

A. Technology

B. Trickle Feeds

C. Data

D. BI Tools

E. Messaging

F. Streaming

Corrective actions are implemented after a problem has occurred and been detected.

A. FALSE

B. TRUE

Data architects facilitate alignment between [1] and [2]

A. [1] Business and [2] IT

B. [1] Technology and [2] Data

C. [1] Governance and [2] Management

D. [1] Strategy and [2] Execution

The first two steps in the data science process are:

A. Define Big Data data strategy & Business Need(s)

B. Choose Data Sources

C. Develop Data Science Hypotheses and Mehods

D. Acquire & Ingest Data source(s)

Consistent input data reduces the chance of errors in associating records. Preparation processes include:

A. Standardization

B. Enrichment

C. Validation

D. Database management

Those responsible for the data-sharing environment have an obligation to downstream data consumers to provide high quality data.

A. TRUE

B. FALSE

Operational Metadata describes details of the processing and accessing of data. Which one is not an example:

A. Error logs

B. Schedule anomalies

C. Purge criteria

D. Failure logs

ISO 8000 will describe the structure and organization of data quality management, including:

A. Data Quality Assurance

B. None of the above

C. Data Quality Planning

D. Data Quality Audit

E. Data Quality Control

F. Data Quality Improvement

One of the deliverables in the Data Integration and Interoperability context diagram is:

A. Data Integration and Interoperability Strategy

B. Data hogging

C. Data access agreements

D. Data security plan

Data modelling tools are software that automate many of the tasks the data modeller performs.

A. FALSE

B. TRUE

Document and content management is defined as planning, implementation and control activities for storage management of data and information found in any form or medium.

A. TRUE