In batch processing, which construct pairs a splitter and an aggregator to handle a collection?

• A. For Each Scope
• B. Batch Controller
• C. Splitter-Aggregator Pair
• D. Collector Node

Answer: (C)

In batch processing, handling a collection efficiently means breaking it into parts, processing each part, and then bringing the results back together. The Splitter takes a collection and creates individual messages for each item, enabling parallel or separate processing of every element. The Aggregator then collects the results from those split parts and produces a single, consolidated output or summary. Together, they form a pattern that directly addresses processing a collection in batches: you split to distribute work, then aggregate to produce a unified result. The other options don’t inherently provide this split-and-aggregate pairing—For Each Scope processes items one by one without automatic reassembly, the Batch Controller coordinates the batch but doesn’t define the split-aggregate behavior, and Collector Node isn’t the standard construct for this pattern.