CDO Data Quality Management

Question 1

What is the primary purpose of a Data Quality Management (DQM) framework within an organization?

Accepted Answer

To ensure data is accurate, complete, consistent, and fit for use

Answer

A DQM framework ensures data meets quality dimensions such as accuracy, completeness, consistency, and timeliness so it is fit for its intended business purpose.

Question 2

Which of the following is NOT typically considered one of the core dimensions of data quality?

Accepted Answer

Scalability

Answer

Scalability is a system architecture concept, not a data quality dimension; the core dimensions include accuracy, completeness, consistency, timeliness, validity, and uniqueness.

Question 3

A CDO discovers that 15% of customer records have duplicate entries. Which data quality dimension is most directly affected?

Accepted Answer

Uniqueness

Answer

Uniqueness measures whether each entity is recorded only once; duplicate records directly violate this dimension.

Question 4

What is a Data Quality Scorecard primarily used for?

Accepted Answer

Measuring and communicating data quality metrics against defined thresholds

Answer

A Data Quality Scorecard provides a structured way to measure, visualize, and communicate data quality metrics relative to established targets and thresholds.

Question 5

Which approach involves correcting data quality issues at the point of data entry rather than after the fact?

Accepted Answer

Prevention-based data quality control

Answer

Prevention-based data quality control embeds validation rules and constraints at the point of capture, stopping poor-quality data from entering systems in the first place.

CDO - Chief Data Officer Certification Practice Test

CDO - Chief Data Officer Certification Practice Test

CDO Data Quality Management