Data Quality rules and standards are a form of data. To be effective, they need to be managed, as data and rules should be:

1. A. Managed outside of the repository and only the results of data quality assessments stored as rules metadata
2. B. Documented consistently, tied to business impact, backed by data analysis, and accessible to all data consumers
3. C. Organized with metrics so the data stewards can review the data and see what rules apply
4. D. Focused on rules that can be integrated into application services
5. E. Focused on managing relationships that have gone wrong in the past and may go wrong in the future

Correct Answer: B

A data warehouse deployment with multiple ETL, storage and querying tools often suffers due to the lack of:

1. A. Integration of the dictionaries to achieve common understanding
2. B. Conflict between software vendors
3. C. Disk space on the big data platform
4. D. Quality data modelers
5. E. Common data types in the source datasets

Correct Answer: A

Practitioners identify development of staff capability to be a primary concern of Data Governance. Why would this be a main concern?

1. A. Because we need to develop the next generation of Chief Data Officers
2. B. Because it is important to have senior people, in order to dictate that the policy will be followed
3. C. Because organizations expect quick results
4. D. Because it is important to train staff to ensure application of appropriate methods
5. E. Because it is a recognized benchmark standard

Correct Answer: D

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

1. A. FALSE
2. B. TRUE

Correct Answer: B

Data professional should not balance the short-term versus long-term business interests.

1. A. TRUE
2. B. FALSE

Correct Answer: B