What happens to records if some are still being processed in step 1 of a batch job?

In a batch job context, especially within MuleSoft, the processing model allows for asynchronous handling of records. When some records are still being processed in step 1, step 2 can begin for those records that have already completed processing in step 1. This means that the system does not require all records to finish processing in step 1 before it can proceed to step 2, which enhances performance and reduces overall processing time.

This is particularly useful in scenarios where large datasets are involved, as it allows for a more efficient workflow, enabling the system to utilize resources effectively. This approach helps in scaling operations and ensures that completed records can be acted upon promptly, rather than waiting for all records to finish processing.

The reasoning behind the other options highlights a more sequential processing model, which is not how batch processing typically operates in MuleSoft. Options that suggest that processing is blocked until all records are finished do not reflect the true nature of MuleSoft’s batch processing capacity.