CompTIA Data+ DA0-002 (V2) Practice Question

The correct answer is data drift. Data drift, also known as covariate shift, refers to the change in the statistical properties of production data over time. In the scenario, the 'average order value' is a statistical property (the mean) that has significantly shifted, which is a classic example of data drift. This change can degrade the performance of machine learning models and the accuracy of business reports.

• Data redundancy is incorrect because it refers to the intentional or unintentional storage of the same data in multiple locations, which can lead to storage inefficiencies and inconsistencies if not managed properly. It does not describe a change in the data's statistical properties.
• Data corruption is incorrect because it involves data being altered or damaged, resulting in errors or making it unreadable. The scenario describes a valid, but different, statistical distribution, not damaged or erroneous data points.
• Data latency is incorrect. This term refers to the delay between when data is generated or changed at the source and when it becomes available in the system. It is a measure of time, not a change in the data's values or distribution.