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Answer: Streaming workloads
Auto Loader is a feature in Databricks that is specifically designed to handle streaming workloads. It is optimized for ingesting and processing streaming data continuously as it arrives. While it may be used within broader workflows that include machine learning and batch processing, its primary function is to support streaming data ingestion.
Author: LeetQuiz Editorial Team
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In the context of Databricks, which has specialized tools for optimizing big data processing and real-time data ingestion, which specific types of workloads are Auto Loader designed to handle effectively?
A
Streaming workloads
B
Machine learning workloads
C
Serverless workloads
D
Batch workloads
