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Exam GES-C01 Topic 1 Question 103 Discussion

Actual exam question for Snowflake's GES-C01 exam
Question #: 103
Topic #: 1
A team is developing a Retrieval Augmented Generation (RAG) pipeline in Snowflake, where document chunks are embedded using Cortex AI functions and then retrieved using VECTOR_COSINE_SIMILARITY They are planning their infrastructure and cost management strategy. Which of the following statements correctly describes the cost or performance characteristics of these operations in Snowflake? (Select all that apply)

Suggested Answer: B,E Vote an answer

Option A is incorrect because vector similarity functions, including

incur token-based costs. Option B is correct. Snowflake recommends executing queries that call Cortex AI SQL functions, which includes vector similarity functions, with a smaller warehouse (no larger than MEDIUM) because larger warehouses do not increase performance for these functions. Option C is incorrect. While cross-region inference involves data movement, the documentation states that user inputs, service generated prompts, and outputs are not stored or cached during cross-region inference. The cost is based on tokens or pages processed, and there's no mention of additional explicit data transfer charges for the function call itself for cross-region inference, only latency considerations. Option D is incorrect. Vector similarity functions do not incur token-based costs. Option E is correct. For

by Maximilian at Jun 30, 2026, 06:27 AM

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