Which statement differentiates Scatter-Gather and Parallel For Each in Mule flows?

• A. Parallel For Each processes items in a collection in parallel, preserving the order of element processing.
• B. Scatter-Gather processes items sequentially.
• C. Scatter-Gather runs multiple branches in parallel and aggregates results.
• D. Parallel For Each does not support concurrency.

Answer: (C)

The essential idea here is how each router handles parallel work and what happens to the results. Scatter-Gather launches multiple branches at the same time and then combines those branches’ outputs into a single message downstream. That aggregation of results from different paths is what defines Scatter-Gather.

In contrast, Parallel For Each takes a collection and runs the same sub-flow for each item concurrently, producing a collection of per-item results. It doesn’t merge outputs from different branches; it aggregates results per item.

So the statement that best differentiates them is that Scatter-Gather runs multiple branches in parallel and aggregates results. The other options are not accurate descriptions: Scatter-Gather isn’t sequential, Parallel For Each does support concurrency, and while Parallel For Each processes items in parallel, it doesn’t inherently guarantee ordering in its results.