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Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 1 Question 29 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 29
Topic #: 1
[All Databricks-Certified-Data-Engineer-Associate Questions]

Which of the following tools is used by Auto Loader 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:

Dylan
4 days ago
I'm not sure, but I think A) Checkpointing could also be used for incremental data processing.
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Willard
6 days ago
I agree with Deangelo, Spark Structured Streaming makes sense for incremental data processing.
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Julie
7 days ago
I think Spark Structured Streaming is the answer here. It allows you to process data incrementally in a way that works well with Auto Loader.
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Deangelo
11 days ago
I think the answer is B) Spark Structured Streaming.
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