What are two reasons for changing the Salesforce target batch size?

The correct reasons for changing the Salesforce target batch size focus on performance and efficiency in handling data operations.

When adjusting the batch size, one key reason is to increase the performance of data loading. A well-optimized batch size can significantly enhance the speed at which records are processed and loaded into Salesforce. Larger batches can reduce the overhead of individual API calls, allowing for more data to be transferred in a single request, which speeds up overall data ingestion.

Another important consideration is how to use API limits more effectively. Salesforce imposes limits on the number of API calls that can be made within a certain timeframe. By adjusting the batch size accordingly, you can optimize the number of API calls required, ensuring that you stay within the limits while maximizing throughput. This efficiency is crucial, especially during peak operations where the data load is substantial.

Focusing on avoiding duplicate data or ensuring data integrity with APEX triggers does not directly correlate with the reasoning behind changing the batch size. Duplicate data prevention and data integrity measures are typically achieved through validation, de-duplication strategies, or the implementation of business rules rather than the size of data batches.