Adjacent feature attributes allow access to values for previous and subsequent features.

• A. False
• B. True
• C. Not applicable
• D. Always

Answer: (B)

Access to adjacent feature attributes is a real capability in FME when you process features in a defined order. If you impose order on your data (for example, sort by a timestamp or an ID), you can carry a value from the previous feature forward in the stream—store it as a temporary attribute and then reference it for the current feature. This makes it possible to compare the current feature’s attribute to the previous one, detect changes, compute deltas, or identify patterns across consecutive features. In practice you’d typically set up a small state, like saving the prior value, and update it as each feature flows through. This approach relies on having a defined order and a way to retain the prior value; without ordering, “previous” and “next” features aren’t well-defined. Some tasks may also require a look-ahead pattern or multiple passes, but the core idea is that adjacent feature attributes enable access to neighboring feature values. Therefore, the statement is true.