In Mule batch job processing, which statement is true?

• A. Records are never queued between steps.
• B. All batch records are processed sequentially by a single thread.
• C. Several threads may process multiple records in parallel.
• D. Each record is processed in exactly one batch step with no overlap.

Answer: (C)

In Mule batch processing, work is distributed across a pool of worker threads, allowing multiple records to be processed at the same time. The framework schedules records to different threads, so several records can be handled concurrently within the same batch run. This parallelism is what boosts throughput and is a fundamental part of how batch jobs operate.

So the statement that several threads may process multiple records in parallel is the best fit because it captures the core idea: parallel processing across a thread pool. The other options conflict with this behavior—either implying everything runs strictly in one thread, or suggesting no queuing and no overlap between steps, which doesn’t align with how batch processing handles concurrent work and chunked processing.