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Answer: Streaming workloads
Auto Loader is optimized for streaming data ingestion into Databricks, enabling the automatic and incremental processing of new data files as they arrive in cloud storage. This makes it particularly suited for streaming workloads, where data is continuously ingested and needs to be processed in real-time or near-real-time. While other workloads like machine learning, serverless, batch, and dashboard may utilize data processed by Auto Loader, its primary function is to efficiently handle streaming data ingestion.
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