What are the three streaming options available for connectors in Mule 4?

In Mule 4, the streaming options available for connectors are crucial for optimizing data processing, especially when dealing with large datasets. The correct answer highlights the three types of streams: File, In-memory, and Non-repeatable.

File streaming is utilized when working with large files, allowing Mule to process data in chunks rather than loading an entire file into memory. This approach improves performance and resource utilization, especially for large datasets.

In-memory streaming means that data is processed within the memory of the application, which is fast but may lead to issues if the data size exceeds available memory. This method is typically used for smaller datasets where high-speed access is necessary.

Non-repeatable streaming refers to a stream where once the data is consumed, it cannot be accessed again. This approach is relevant for operations that consume data in one pass, such as event processing where the same data should not be processed multiple times.

These three streaming options align well with the requirements of different use cases and database interactions in the MuleSoft platform, providing flexibility and optimizing resource usage.