CDS Data Quality Management 5

Question 1

Which metric expresses the proportion of records that pass all applicable data quality rules?

Accepted Answer

Data quality score (DQ score)

Answer

Data error rate

Answer

Mean time to detect (MTTD)

Answer

Record rejection ratio

Question 2

A healthcare organization must ensure that patient records are accurate, complete, and available within 30 minutes of a clinical event. Which framework element formally defines these requirements?

Accepted Answer

Data quality service level agreement (DQ SLA)

Answer

Data dictionary

Answer

Master data management policy

Answer

Entity-relationship diagram

Question 3

What distinguishes 'reactive' data quality management from 'proactive' data quality management?

Accepted Answer

Reactive DQ fixes defects after they occur; proactive DQ prevents defects from arising

Answer

Reactive DQ uses automated tools; proactive DQ uses manual inspection

Answer

Reactive DQ is applied to historical data; proactive DQ applies only to new data

Answer

Reactive DQ is cheaper; proactive DQ is more expensive in all scenarios

Question 4

Which data quality concept refers to the degree to which data correctly represents the real-world construct it is intended to model?

Accepted Answer

Accuracy

Answer

Precision

Answer

Conformity

Answer

Credibility

Question 5

During a data migration project, what is the primary purpose of running data quality checks BEFORE migration begins?

Accepted Answer

To establish a baseline and prevent inheriting existing defects in the target system

Answer

To satisfy regulatory audit requirements for the migration project

Answer

To reduce the number of transformation rules required in the ETL

Answer

To prove the source system has no bugs before decommissioning

Question 6

A company's address data was loaded using abbreviations ('St' vs 'Street', 'Blvd' vs 'Boulevard'). What type of data quality issue is this?

Accepted Answer

Consistency / standardization issue

Answer

Uniqueness issue

Answer

Completeness issue

Answer

Integrity issue

Question 7

Which practice ensures that data quality rules remain aligned with evolving business requirements over time?

Accepted Answer

Continuous rule review cycles tied to business process change management

Answer

One-time data quality baseline assessment at project initiation

Answer

Annual third-party data quality audits

Answer

Automated rule generation from machine learning models