Data that are clearly inappropriate within a specific attribute in a data set are referred to as ________ data.

• A. incomplete
• B. anomalous
• C. irrelevant
• D. inconsistent

Answer: (D)

This item tests data quality in terms of value validity for a given attribute. Data that are clearly inappropriate within a specific attribute violate the allowed values or semantics of that field, so they don’t align with how the attribute is defined. That’s what “inconsistent” captures: values that clash with the attribute’s rules or expected domain, such as a negative age, a future birth date, or text in a numeric field. Incomplete refers to missing data, anomalous describes unusual values that may still be valid, and irrelevant means not useful for the task. So the term that best describes values that don’t fit the attribute’s defined domain is inconsistent.