CDP Data Quality Management 1

Question 1

Which data quality dimension measures whether data values conform to the correct format, type, and range?

Accepted Answer

Validity

Answer

Validity measures whether data values conform to defined formats, data types, and allowable ranges or domain values.

Question 2

What is data profiling in the context of data quality?

Accepted Answer

Analyzing data to understand its structure, content, and quality characteristics

Answer

Data profiling examines source data to understand its structure, distributions, patterns, completeness, and anomalies as a foundation for data quality improvement.

Question 3

Which data quality dimension refers to data being available when needed for decision-making?

Accepted Answer

Timeliness

Answer

Timeliness measures whether data is available and up-to-date when needed by business processes and decision-makers.

Question 4

What is a data quality scorecard used for?

Accepted Answer

Tracking and communicating the status of data quality metrics against defined targets over time

Answer

A data quality scorecard tracks key quality metrics against targets and communicates trends over time to stakeholders and governance teams.

Question 5

Which approach to fixing data quality issues addresses the root cause in source systems rather than cleansing data downstream?

Accepted Answer

Upstream Fix / Prevention at Source

Answer

Fixing quality issues at the source prevents them from propagating downstream, which is more effective and efficient than repeatedly cleansing after the fact.

CDP - Certified Data Professional Practice Test

CDP - Certified Data Professional Practice Test

CDP Data Quality Management 1