CDS Data Quality Management 4

Question 1

Which data quality dimension is most directly impacted when a batch ETL job runs 18 hours late, delivering yesterday's inventory levels to a real-time fulfillment system?

Accepted Answer

Timeliness

Answer

Timeliness measures whether data is available when needed; an 18-hour delay makes otherwise accurate data unfit for real-time fulfillment decisions.

Question 2

A data steward is tasked with establishing data quality thresholds. What should these thresholds be based on?

Accepted Answer

Business impact analysis and the tolerance level for each use case

Answer

Thresholds should reflect how much data quality degradation a specific business process or decision can tolerate before outcomes are materially harmed.

Question 3

What is 'data standardization' in the context of data quality improvement?

Accepted Answer

Transforming data into consistent formats, codes, and representations across systems

Answer

Data standardization transforms varied representations (e.g., 'NY', 'New York', 'N.Y.') into a single canonical form to enable accurate comparison and integration.

Question 4

When a data quality rule has a high false-positive rate, what is the most likely operational consequence?

Accepted Answer

Valid records are incorrectly flagged, causing unnecessary rework and business disruption

Answer

High false-positive rates cause valid data to be rejected or quarantined, eroding trust in the DQ program and creating costly manual review cycles.

Question 5

Which of the following best describes a 'data quality firewall'?

Accepted Answer

A control point that prevents data below a quality threshold from entering downstream systems

Answer

A data quality firewall is an architectural control that intercepts data in-flight and blocks or quarantines records that fail defined quality rules before they propagate downstream.

(CDS) Certified Data Steward Practice Test

(CDS) Certified Data Steward Practice Test

CDS Data Quality Management 4