SOL-C01 Exam Dumps | You're building a data pipeline in Snowflake that utilizes the 'SNOWFLAKE.ML.COMPLETE function to translate

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Snowflake.SOL-C01.v2026-01-13.q155
Question 105

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Question 105/155

You're building a data pipeline in Snowflake that utilizes the 'SNOWFLAKE.ML.COMPLETE function to translate product descriptions from English to French. You have a table 'PRODUCT DESCRIPTIONS with columns 'PRODUCT and ENGLISH DESCRIPTION'. You want to create a new table 'PRODUCT DESCRIPTIONS FRENCH' with 'PRODUCT and 'FRENCH DESCRIPTION'. To optimize costs, you plan to use a efficient way to implement this, including the UDF definition and the data loading process?

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: A

The most efficient and correct approach is to use a SQL UDF, as it leverages Snowflake's internal optimization capabilities best when calling built-in functions. The
`SNOWFLAKE.ML.COMPLETE is called directly within the SQL UDE Options B and C are incorrect because Javascript and Python UDF would need proper Snowflake SDK package (snowflake.ml.complete) to work in order to call SNOWFLAKE.ML.COMPLETE function; Option D is incorrect; Option E is also not optimal; Option A is the MOST efficient method since it uses a SQL UDF to directly call the function which is better optimised by Snowflake.

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