Snowflake Exam DSA-C02 Topic 4 Question 34 Discussion

Actual exam question for Snowflake's DSA-C02 exam

Question #: 34
Topic #: 4

Data Scientist used streams in ELT (extract, load, transform) processes where new data inserted in-to a staging table is tracked by a stream. A set of SQL statements transform and insert the stream contents into a set of production tables. Raw data is coming in the JSON format, but for analysis he needs to transform it into relational columns in the production tables. which of the following Data transformation SQL function he can used to achieve the same?

AHe could not apply Transformation on Stream table data.

Blateral flatten()

CMETADATA$ACTION ()

DTranspose()

Show Suggested Answer

Suggested Answer: B

To know about lateral flatten SQL Function, please refer:

https://docs.snowflake.com/en/sql-reference/constructs/join-lateral#example-of-using-lateral-with-flatten

by Caren at Nov 14, 2024, 09:42 PM

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Emiko

20 hours ago

Hold up, option A? Really? You can't apply transformations on stream data? That's just nonsense!

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Erinn

3 days ago

Hmm, I'd go with option B. Lateral flatten() seems like the perfect SQL function to transform that JSON data into relational columns.

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