Exam GES-C01 Topic 1 Question 34 Discussion

Actual exam question for Snowflake's GES-C01 exam
Question #: 34
Topic #: 1

A data scientist is working on a new feature that involves querying a Cortex Search Service and integrating the results into various downstream processes. They are concerned about potential data type compatibility issues and limitations within the Snowflake environment. Which of the following statements accurately describe how to query a Cortex Search Service or the limitations of the 'VECTOR data type and Cortex Search itself? (Select all that apply)

A. Cortex Search Services can only be queried using the 'SNOWFLAKE.CORTEX.SEARCH_PREVIEW' SQL function and do not offer a programmatic interface for applications. B. The "VECTOR data type, used to store embeddings generated for Cortex Search, is fully supported as a primary key in Snowflake's hybrid tables to accelerate similarity searches. C. To retrieve the support ticket most relevant to a query about 'internet issues', filtered to return results only in the 'North America' region, one can use the 'filter' parameter in the 'SEARCH PREVIEW function's JSON argument like so:

D. The 'VECTOR data type, which stores the output of embedding models like those used by Cortex Search, is explicitly not supported in 'VARIANT columns. E. Cortex Search Services can be configured as a source for Snowflake dynamic tables, enabling continuous and automated synchronization of the search index with base data.

Suggested Answer: C,D Vote an answer

Option A is incorrect. Cortex Search Services can be queried using both the 'SNOWFLAKE.CORTEX.SEARCH PREVIEW' SQL function and programmatically via the Python API. Option B is incorrect. While the 'VECTOR data type is allowed in hybrid tables, it is not supported as a primary key or secondary index key. Option C is correct. The 'SNOWFLAKE.CORTEX.SEARCH_PREVIEW' function accepts a JSON object as an argument, which can include a 'filter' parameter to refine search results based on specified conditions, such as filtering by region. Option D is correct. The 'VECTOR data type is explicitly not supported in 'VARIANT columns, meaning embeddings cannot be stored directly within semi-structured data in a single 'VARIANT column. Option E is incorrect. Snowflake Cortex functions, including Cortex Search, do not support dynamic tables.

by Thomas at Apr 23, 2026, 09:44 AM

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