Which annotation best describes the AttributeValueMapper transformer?

Which annotation best describes the AttributeValueMapper transformer?

• A. Map the crime attribute
• B. AttributeValueMapper version 3, FME 2020.1
• C. Assign each crime a number based on severity
• D. Here I mapped some of the crime attributes to accomplish the walkability score goal of the workspace in the context of this section.

Answer: (C)

AttributeValueMapper translates the value of a chosen attribute into another value using a predefined mapping table. The best description, “Assign each crime a number based on severity,” captures this exact use: you take a severity descriptor (like low, medium, high) and map it to a numeric score that can be used in subsequent analysis such as a walkability score. This transformer doesn’t just rename or generalize the attribute, it replaces each value with a corresponding mapped value according to the table you provide. The other options are less precise or describe things outside the transformer’s core function, such as referencing a software version or broadly describing attribute mapping without specifying the value-to-value transformation.

AttributeValueMapper translates the value of a chosen attribute into another value using a predefined mapping table. The best description, “Assign each crime a number based on severity,” captures this exact use: you take a severity descriptor (like low, medium, high) and map it to a numeric score that can be used in subsequent analysis such as a walkability score. This transformer doesn’t just rename or generalize the attribute, it replaces each value with a corresponding mapped value according to the table you provide. The other options are less precise or describe things outside the transformer’s core function, such as referencing a software version or broadly describing attribute mapping without specifying the value-to-value transformation.