Answer: Streaming workloads

**Explanation:** Auto Loader is a Databricks feature designed for incremental data ingestion. It's specifically built to work with structured streaming workloads to efficiently discover and load new files as they arrive in cloud storage. **Key points:** - Auto Loader uses structured streaming under the hood - It's optimized for streaming scenarios where new files need to be processed as they arrive - While Auto Loader can be used in batch contexts, it's fundamentally a streaming technology - The other options (machine learning, serverless, dashboard workloads) are not the primary workload type that Auto Loader is designed for **Why A is correct:** Auto Loader is built on Apache Spark Structured Streaming and is specifically designed for streaming data ingestion workloads where you need to continuously monitor directories for new files.

Author: Keng Suppaseth