Batch processing is correct because it describes processing multiple records together as a collection rather than handling each record one by one.

Batch processing groups records into a single job or batch and then processes that set as a unit. This approach is common for offline analytics and ETL jobs where high throughput is more important than low latency.

Stream processing is incorrect because it focuses on processing events continuously and often one record or a small window of records at a time to enable near real time results.

Buffering is incorrect because buffering is simply a temporary holding of data while it waits for processing and it does not by itself define whether records are processed in batches or individually.

Template rendering is incorrect because it relates to generating formatted output from a template and data and it is not a data processing mode for handling multiple records as a collection.

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