Data Quality Management Flashcards
7 cards from real CDS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Quality Management flashcards as text
Which data quality dimension measures the degree to which data values fall within acceptable ranges or conform to defined domain rules?
Answer: Validity
Validity measures whether data values conform to defined business rules, formats, or acceptable value domains.
A data steward discovers that the same customer appears 47 times in the CRM with slight name variations. Which remediation technique best addresses this?
Answer: Entity resolution / record linkage
Entity resolution (record linkage) identifies and merges records that refer to the same real-world entity, resolving duplicate customer records.
What is the primary purpose of a data quality scorecard?
Answer: To track and communicate data quality KPIs over time
A data quality scorecard aggregates KPIs across dimensions and time periods to give stakeholders a repeatable view of quality health.
In the context of data quality, what does 'fitness for purpose' mean?
Answer: Data satisfies the specific needs of the intended use case
Fitness for purpose means data quality is judged relative to whether the data adequately supports the specific decisions or processes it is intended for.
Which technique uses statistical process control (SPC) charts to monitor data quality metrics over time?
Answer: Control charting
Control charts (SPC charts) plot quality metrics over time with upper/lower control limits to detect abnormal variation early.
A business rule states that every order must have a corresponding customer record. Which data quality dimension is violated when orphan orders exist?
Answer: Integrity
Referential integrity violations — where child records exist without a valid parent — represent a failure of the Integrity dimension.
What is the role of a 'data quality issue log' in an ongoing DQ program?
Answer: It tracks identified issues, root causes, owners, and remediation status
A data quality issue log is a governance artifact that records detected problems along with their severity, ownership, remediation actions, and resolution status.
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