An IS auditor is reviewing a dataset used by a university to train a predictive...

A numeric field stored as an object (string) format (option C) indicates improper data typing. Models cannot correctly compute correlations or statistical relationships when numerical values are stored as textual data.

AAIA emphasizes that incorrect datatypes are one of the most common causes of ML model misbehavior, including:

Failure to compute averages, correlations, or mathematical operations

Silent errors in preprocessing

Skewed learning patterns

Incorrect feature importance evaluations Thus, the Final Grade Percent field in object format is the most significant indicator of processing risk. Options A, B, and D are valid datatypes for their respective fields and pose no inherent model processing risk.