SOL-C01 Exam Dumps | A data engineer needs to translate product names stored in a 'PRODUCTS' table from English to French

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 101/155

A data engineer needs to translate product names stored in a 'PRODUCTS' table from English to French using Snowflake Cortex LLM. The 'PRODUCTS' table has a 'PRODUCT ID' and
'PRODUCT NAME EN' column. They want to create a view named 'PRODUCTS FR' that contains the translated product names in a new column called 'PRODUCT NAME FR. Which of the following SQL statements is the MOST efficient and correct way to create the view using the
'TRANSLATE' function, assuming the appropriate LLM endpoint is configured?

A. CREATE VIEW PRODUCTS_FR AS SELECT PRODUCT_ID, 'en', 'fr') AS FROM PRODUCTS;

B. CREATE OR REPLACE VIEW PRODUCTS FRAS SELECT PRODUCT ID, 'en', 'fr') AS FROM PRODUCTS;

C. CREATE OR REPLACE VIEW PRODUCTS_FR AS SELECT PRODUCT_ID, NAME EN) AS PRODUCT NAME FR FROM PRODUCTS;

D. CREATE OR REPLACE VIEW PRODUCTS_FR AS SELECT PRODUCT_ID, PRODUCT NAME EN, source_language 'en', target_language 'fr') AS PRODUCT NAME FR FROM PRODUCTS;

E. CREATE OR REPLACE VIEW PRODUCTS_FR AS SELECT PRODUCT_ID,SNOWFLAKE.CORTEX.TRANSLATE(input source_language 'en', target_language 'fr') AS PRODUCT NAME FR FROM PRODUCTS;

Correct Answer: E

The most efficient and correct way is option E. It correctly uses the
`SNOWFLAKE.CORTEX.TRANSLATE' function with named parameters for clarity and explicitly specifies the source and target languages. Options A and B uses incorrect library and function call and doesn't specify named parameters. option C uses SNOWFLAKE.ML.PREDICT which expects a ML model, not TRANSLATE function

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