SOL-C01 Exam Dumps | A data analyst is tasked with translating customer reviews from various languages into English to perform

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Snowflake.SOL-C01.v2026-01-13.q155
Question 103

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Question 103/155

A data analyst is tasked with translating customer reviews from various languages into English to perform sentiment analysis. The customer reviews are stored in a table named 'CUSTOMER REVIEWS' with columns 'REVIEW ID', 'REVIEW TEXT', and 'LANGUAGE CODE'. However, the
'LANGUAGE CODE column is sometimes missing or inaccurate. What is the BEST approach to use the Snowflake Cortex LLM's 'TRANSLATE function to handle reviews where the language is unknown?

A. Use a CASE statement to check if 'LANGUAGE_CODE is null. If it is, pass the review text directly to 'TRANSLATE without specifying the source language, relying on automatic language detection by the function. If not null, use the LANGUAGE_CODE'.

B. Create a separate table containing default language codes for each region and join it with the
`CUSTOMER REVIEWS' table to fill in missing language codes before calling 'TRANSLATE.

C. Use the 'DETECT LANGUAGE function from Snowflake Cortex LLM to automatically identify the source language before passing the review text and detected language code to the 'TRANSLATE function.

D. Exclude all reviews with a missing 'LANGUAGE CODE from the translation process to avoid errors.

E. Use a TRY_TRANSLATE function which does not exist, which would catch exception if LANGUAGE_CODE is invalid or Null.

Correct Answer: C

Option C is the best approach. Snowflake Cortex LLM provides a 'DETECT_LANGUAGE function that can automatically identify the language of the text. This allows you to handle cases where the UNGUAGE CODE is missing or inaccurate. Option A may not work as expected if automatic language detection is not reliable or supported directly within the TRANSLATE function. Option B introduces complexity and potential inaccuracies with default language codes. Option D avoids the problem but sacrifices valuable data.

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