Exam GES-C01 Topic 1 Question 329 Discussion

Actual exam question for Snowflake's GES-C01 exam
Question #: 329
Topic #: 1

A data platform architect is integrating 'SNOWFLAKE.CORTEX.EMBED TEXT 768' into a complex data pipeline for a new search application. The pipeline involves extracting text from various sources, generating embeddings, storing them in Snowflake, and performing semantic searches. Which of the following statements accurately describes a compatibility aspect or limitation when working with 'EMBED TEXT 768' and the resulting 'VECTOR' data type within Snowflake?

A. The function can be directly integrated into a dynamic table's 'SELECT statement to provide continuous, automated embedding updates for new data. B. If the function is not natively available in the account's primary Snowflake region, cross-region inference cannot be enabled, thus preventing its use. C. The 'VECTOR' data type, which stores the output of is fully compatible with all Snowflake features, including being used as a primary key in hybrid tables for fast lookups. D. When is invoked within a Snowpark Python User-Defined Function (UDF) on Snowflake data, the data remains within Snowflake's network boundary during the embedding generation process. E. To support diverse embedding dimensions from different models, the 'VECTOR data type can be stored efficiently within a 'VARIANT column, which automatically handles schema variations.

Suggested Answer: D Vote an answer

Option D is correct. When Snowflake Cortex LLM functions, such as 'EMBED_TEXT_768', are called on Snowflake data (e.g., within a Snowpark Python UDF), the data never actually leaves Snowflake's network boundary. This ensures that data governance and security are maintained. Option A is incorrect because Snowflake Cortex functions, including 'EMBED_TEXT_768' , do not support dynamic tables. Option B is incorrect; cross-region inference can be enabled if ' is not natively available in a region, using the 'CORTEX_ENABLED_CROSS_REGION' parameter. Option C is incorrect because the 'VECTOR data type is not supported as primary or secondary index keys in hybrid tables. Option E is incorrect because 'VECTOR data types are explicitly not supported in 'VARIANT' columns.

by Broderick at Dec 25, 2025, 08:03 PM

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