Auto Loader uses Spark Structured Streaming to process data incrementally. Spark Structured Streaming is a streaming engine that can be used to process data as it arrives, making it ideal for processing data that is being generated in real time.

Why other options are incorrect:

• A. Checkpointing: This is a technique used to ensure that data is not lost in case of a failure, but it is not used to process data incrementally.
• C. Data Explorer: This is a data exploration tool used to explore data, not for incremental data processing.
• D. Unity Catalog: This is a metadata management tool for storing and managing metadata about data assets, not for incremental data processing.
• E. Databricks SQL: This is a SQL engine used to query data, not for incremental data processing.

Key Concept: Auto Loader leverages Spark Structured Streaming's capabilities to efficiently ingest and process new files as they arrive in cloud storage, providing incremental data loading functionality.