Auto Loader is designed to support both streaming and batch workloads. It can incrementally load new files from cloud storage in both streaming and batch modes.

Key points:

1. Streaming workloads (A): Auto Loader is optimized for streaming workloads where it can continuously monitor for new files and process them as they arrive.
2. Batch workloads (D): Auto Loader also supports batch processing where it can load files in a single batch operation.
3. Other options: Machine learning workloads (B), serverless workloads (C), and dashboard workloads (E) are not specifically what Auto Loader is designed for - Auto Loader is a data ingestion tool focused on file loading from cloud storage.

Explanation: Auto Loader's primary purpose is to incrementally and efficiently process new files from cloud storage, making it compatible with both streaming and batch processing paradigms.