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Answer: Streaming workloads
Auto Loader relies on Structured Streaming for incremental processing, which makes Streaming workloads always compatible with Auto Loader. The reference from Databricks documentation confirms this, and community votes and comments also clearly point out that option A is correct.
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Databricks offers a feature called Auto Loader which is designed to efficiently ingest data incrementally into Delta Lake. Auto Loader is optimized to handle vast amounts of data and is particularly useful for data engineering tasks that require real-time or near real-time data processing. Considering the capabilities and design of Auto Loader, identify the type of workloads that are always compatible with this feature.
Which of the following describes the type of workloads that are always compatible with Auto Loader?
A
Streaming workloads
B
Machine learning workloads
C
Serverless workloads
D
Batch workloads
E
Dashboard workloads