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Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 3 Question 24 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 24
Topic #: 3
[All Databricks-Certified-Data-Engineer-Associate Questions]

Which tool is used by Auto Loader to process data incrementally?

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Suggested Answer: A

Auto Loader in Databricks utilizes Spark Structured Streaming for processing data incrementally. This allows Auto Loader to efficiently ingest streaming or batch data at scale and to recognize new data as it arrives in cloud storage. Spark Structured Streaming provides the underlying engine that supports various incremental data loading capabilities like schema inference and file notification mode, which are crucial for the dynamic nature of data lakes.

Reference: Databricks documentation on Auto Loader: Auto Loader Overview


Contribute your Thoughts:

Gerald
5 months ago
Checkpointing is just a technique, not really a tool. Databricks SQL is more for queries.
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Avery
5 months ago
I agree, Dan. But aren't Checkpointing and Databricks SQL also possible?
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Harley
5 months ago
I think it's Spark Structured Streaming. Makes sense for streaming data.
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Youlanda
6 months ago
Which tool is used for incremental data processing, right?
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Gerald
6 months ago
Yeah, same! That question about Auto Loader kinda stumped me.
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Silva
6 months ago
I really hope the exam isn't too tricky.
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