GES-C01 Exam Dumps | A data engineering team is tasked with creating vector embeddings for a collection of diverse, multilingual

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Snowflake.GES-C01.v2025-10-06.q171
Question 60

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Question 60/171

A data engineering team is tasked with creating vector embeddings for a collection of diverse, multilingual research papers for a semantic search application. They need to use 'SNOWFLAKE.CORTEX.EMBED TEXT 1024' and are considering two models: 'snowflake-arctic-embed-l-v2.0' and 'voyage-multilingual-2'. They also need to ensure the resulting embeddings are stored correctly and understand potential text truncation. Which of the following statements correctly describes the application of the 'EMBED TEXT 1024' function for these models and the characteristics of the generated embeddings?

A. The 'snowflake-arctic-embed-I-v2.0' model has a larger context window than 'voyage-multilingual-2 , making it more suitable for longer research papers without truncation.

B. Using either 'snowflake-arctic-embed-l-v2.0' or 'voyage-multilingual-2' with will result in a 'VECTOR(FLOAT, 1024)' data type, which is compatible with 'VARIANT columns.

C. The query

D. Both 'snowflake-arctic-embed-l-v2.0' and 'nv-embed-qa-4' are multilingual models with a 1024-dimension output, making them interchangeable for this use case.

E. The function call

Correct Answer: C

Option C is correct. The 'EMBED_TEXT_1024' function's syntax is 'SNOWFLAKE.CORTEX.EMBED_TEXT 1024(, y. The 'voyage-multilingual-2 model has a context window of 32000 tokens, and text exceeding the model's context window is truncated before embedding. Option A is incorrect because 'snowflake-arctic-embed-l-v2.0' has a 512-token context window, while 'voyage-multilingual-2 has a 32000-token context window, meaning 'voyage-multilingual-2 has a larger context window. Option B is incorrect because while EMBED TEXT 1024' returns a 1024)' data type, the 'VECTOR data type is explicitly not supported in 'VARIANT' columns. Option D is incorrect because 'nv-embed-qa-v is an English-only model, whereas 'snowflake-arctic-embed-l-v2.0' is multilingual. Option E is incorrect because the model name should be the first argument and the text the second argument in the function call, i.e., ' text_inputy.

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