Answer: Spark Structured Streaming

Auto Loader efficiently ingests data incrementally into Delta Lake on Databricks by leveraging Spark Structured Streaming. This tool offers a high-level abstraction for stream processing, enabling scalable and fault-tolerant processing of streaming data. It allows Auto Loader to monitor directories for new files and process them upon arrival, facilitating incremental loads. This method simplifies the development of streaming data pipelines, ensuring data is processed in real-time or near-real-time, making Spark Structured Streaming the optimal choice for incremental data processing within Auto Loader's architecture.

Author: LeetQuiz Editorial Team