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 tool is used by Auto Loader to process data incrementally?

ASpark Structured Streaming

BUnity Catalog

CCheckpointing

DDatabricks SQL

Show Suggested Answer

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

by Lawanda at Jun 30, 2024, 12:28 PM

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Tequila

4 months ago

Checkpointing? Sounds like a feature from the Stone Age of data processing. Give me something more modern, please!

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Darci

3 months ago

D) Databricks SQL

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Justine

3 months ago

C) Checkpointing

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Lavelle

3 months ago

B) Unity Catalog

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Marla

3 months ago

A) Spark Structured Streaming

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Charlie

4 months ago

Spark Structured Streaming? More like Spark Structured Screaming when it comes to handling big data, am I right?

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Rosann

4 months ago

Databricks SQL? Really? That's like using a screwdriver to hammer in a nail. Not very efficient, if you ask me.

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Mindy

2 months ago

C) Checkpointing can also be useful for processing data incrementally.

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Dick

2 months ago

A) Spark Structured Streaming would be a better choice for that.

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Clorinda

2 months ago

Databricks SQL might not be the best tool for incremental processing.

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Frederick

2 months ago

D) Databricks SQL

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Lynsey

2 months ago

C) Checkpointing

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Marget

2 months ago

B) Unity Catalog

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Reita

2 months ago

A) Spark Structured Streaming

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Madalyn

2 months ago

Definitely, Spark Structured Streaming is designed for processing data incrementally.

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Josephine

2 months ago

A) Spark Structured Streaming would be a better choice for that.

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Gaston

2 months ago

I agree, using Databricks SQL for incremental processing seems inefficient.

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Elizabeth

3 months ago

D) Databricks SQL

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Fernanda

3 months ago

C) Checkpointing

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Catherin

3 months ago

B) Unity Catalog

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Leota

3 months ago

A) Spark Structured Streaming

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Pilar

4 months ago

Unity Catalog? Seriously? Sounds more like a catalog of unity than an incremental processing tool.

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Freeman

4 months ago

Hmm, I'd say Checkpointing is the way to go. Gotta love that incremental data magic!

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Phillip

3 months ago

C) Checkpointing

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Nohemi

3 months ago

B) Unity Catalog

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Gearldine

4 months ago

A) Spark Structured Streaming

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Ryan

4 months ago

Spark Structured Streaming, of course! That's the classic tool for incremental data processing.

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Zana

3 months ago

Databricks SQL is a powerful tool, but not specifically for incremental data processing.

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Beatriz

3 months ago

D) Databricks SQL

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Gianna

3 months ago

Checkpointing is also important for fault tolerance in data processing.

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Madelyn

3 months ago

C) Checkpointing

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Louann

3 months ago

Yes, Spark Structured Streaming is the tool used by Auto Loader for incremental data processing.

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Skye

3 months ago

A) Spark Structured Streaming

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Anglea

4 months ago

I think D) Databricks SQL could be used as well, it's a powerful tool for data processing.

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Stanford

4 months ago

I'm not sure, but I think C) Checkpointing could also be used for processing data incrementally.

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Nan

5 months ago

I agree with Lizette, Spark Structured Streaming makes sense for incremental processing.

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Lizette

5 months ago

I think the answer is A) Spark Structured Streaming.

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