Which transformer would you use to detect changes to the data type specifically?

• A. ChangeDetector
• B. TypeChangeDetector
• C. AttributeCreator
• D. TestFilter

Answer: (B)

The key idea is using a transformer that specifically monitors an attribute’s data type and signals when that type changes. TypeChangeDetector is built to compare the current data type of an attribute to its previous or reference type and mark features where a mismatch occurs. This helps you catch schema drift or inconsistent data formats, which downstream processes might rely on being a certain type. For example, if an attribute that is usually numeric sometimes comes in as text, this transformer will flag that change in type. In contrast, the other options focus on different things: ChangeDetector looks for changes in the actual attribute values, not their types; AttributeCreator simply creates new attributes; TestFilter evaluates a condition to filter features. So the best choice for detecting changes to the data type specifically is the transformer designed to detect type changes.