Which setting in group-based transformers is associated with performance when groups are pre-sorted?

• A. Process When Group Changes (Advanced)
• B. Group Inspector
• C. Group Filter
• D. Group Aggregator.

Answer: (A)

Understanding how group-based transformers can optimize when input is already sorted by the group key is key. If the data is pre-sorted, the transformer can treat each group as a unit and avoid reinitializing its state for every feature. The setting that best matches this optimization is the option to process when the group changes. Enabling this tells the transformer to keep work within the current group and only reinitialize as a new group begins, which reduces overhead and speeds up processing on large datasets. The other options have different roles: inspecting how groups are structured, filtering features by group membership, or performing within-group aggregations, none of which specifically optimize performance based on pre-sorted groups.