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

Limited Time Offer

25%

Off

Get Premium DSA-C02 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Hillary

3 months ago

I'm with Erinn on this one. Lateral flatten() is the way to go. Though I gotta say, these options are a bit of a mixed bag, aren't they?

upvoted 0 times

...

Chaya

3 months ago

METADATA$ACTION()? What kind of made-up function is that? Definitely not the solution we need.

upvoted 0 times

...

Jutta

3 months ago

Transpose()? Nah, that's not what we're looking for here. Gotta be lateral flatten() all the way.

upvoted 0 times

Patrick

2 months ago

I'm not sure about METADATA$ACTION (), but I know that Transpose() is not the right function for this task.

upvoted 0 times

...

Glenna

2 months ago

No, lateral flatten() is the best choice for this scenario. It helps in flattening nested JSON data.

upvoted 0 times

...

Shawna

3 months ago

Definitely, lateral flatten() is the perfect choice for this scenario.

upvoted 0 times

...

Ashton

3 months ago

I agree, lateral flatten() is the way to go for transforming JSON data into relational columns.

upvoted 0 times

...

Murray

3 months ago

I think METADATA$ACTION () might also be a good option for data transformation.

upvoted 0 times

...

Laura

3 months ago

I agree, lateral flatten() is the way to go for transforming JSON data into relational columns.

upvoted 0 times

...

Desmond

3 months ago

I'm not sure about lateral flatten(), but I think METADATA$ACTION () could also be used for transforming the data.

upvoted 0 times

...

James

3 months ago

I agree with Cory, lateral flatten() function is commonly used for this type of transformation.

upvoted 0 times

...

Cory

4 months ago

I think the Data Scientist can use lateral flatten() function for transforming the JSON data into relational columns.

upvoted 0 times

...

Emiko

4 months ago

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

upvoted 0 times

...

Erinn

4 months ago

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

upvoted 0 times

Melvin

3 months ago

I've used lateral flatten() before, it's definitely a good choice for this kind of transformation.

upvoted 0 times

...

Denna

3 months ago

I'm not sure about Transpose(), but I don't think we can't apply Transformation on Stream table data.

upvoted 0 times

...

Gretchen

4 months ago

I think METADATA$ACTION () might also work for this transformation.

upvoted 0 times

...

Kirk

4 months ago

I agree, lateral flatten() is the way to go for transforming JSON data.

upvoted 0 times

...