Databricks Certified Data Engineer - Associate

Auto Loader uses Spark Structured Streaming to process data incrementally. Auto Loader is a Databricks feature that efficiently processes new data files as they arrive in cloud storage. It leverages Spark Structured Streaming's capabilities to provide incremental data ingestion with automatic schema inference and evolution. While checkpointing is used by Structured Streaming for fault tolerance, it's not the primary tool used by Auto Loader. Data Explorer, Unity Catalog, and Databricks SQL are other Databricks tools but not specifically used by Auto Loader for incremental processing.