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Answer: Efficiently process new data incrementally from cloud object storage
The correct answer is **Efficiently process new data incrementally from cloud object storage**. AUTO LOADER is specifically designed to ingest files stored in cloud object storage efficiently. It does not support processing streaming data sources like Kafka or Delta streams directly; for these, Structured Streaming is recommended. AUTO LOADER offers two main methods for incremental data ingestion: Directory listing, which lists and maintains the state of files in RocksDB for incremental file listing, and File notification, which uses a trigger and queue mechanism to handle file notifications, enabling it to scale to millions of files per day. AUTO LOADER is particularly advantageous when dealing with a high volume of files in cloud storage, as it can discover and process new files more efficiently than the COPY INTO command, without requiring additional setup for new file arrivals.
Author: LeetQuiz Editorial Team
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Which scenario best describes the optimal use case for AUTO LOADER?
A
Incrementally process new data from streaming data sources like Kafka into delta lake
B
Efficiently move data incrementally from one delta table to another delta table
C
Efficiently process new data incrementally from cloud object storage
D
Incrementally process new data from relational databases like MySQL
E
Efficiently copy data from one data lake location to another data lake location
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