What is the effect of removing unnecessary attributes in FME?

• A. It has no effect on performance.
• B. It can improve FME performance.
• C. It degrades data accuracy.
• D. It increases processing time.

Answer: (B)

Removing unnecessary attributes reduces the data footprint that FME has to carry and process. When a feature moves through the workspace, every attribute adds to memory, I/O, and the amount of data that must be copied between transformers. By pruning attributes you don’t actually need, you lower memory usage and the amount of data read and written, which typically speeds up processing and shortens the overall runtime. This does not change the values of the attributes that matter, provided those unused attributes were truly not used anywhere in the workflow, so data accuracy remains intact. The other outcomes don’t fit: eliminating unused attributes does not have no effect, it usually improves performance; it does not degrade accuracy if those attributes aren’t used; and it does not increase processing time—in most cases it reduces it.