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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. An organization is planning to implement a new Retrieval Augmented Generation (RAG) application and has chosen Snowflake Cortex Search as its core retrieval engine. To effectively manage their budget, the finance and data teams need a clear understanding of the various cost components associated with deploying and operating a Cortex Search Service. Which of the following represent distinct cost categories directly attributable to the deployment and ongoing operation of a Snowflake Cortex Search Service?

A) Compute costs for LLM inference (e.g., SNOWFLAKE.CORTEX.COMPLETE) when the RAG application uses the retrieved context to generate responses.
B) Cloud Services compute for monitoring underlying base objects for changes to trigger search service refreshes.
C) Virtual warehouse compute used for refreshing the search service's index and processing base object changes.
D) Storage for the materialized source data and the optimized search index data structures within the Snowflake account.
E) ' Services compute specifically for generating vector embeddings of text data during the indexing and update processes.

2. A global marketing team uses Snowflake to manage customer feedback in various languages. They need to translate customer reviews from German ("de") into English ("en") for analysis. The reviews are stored in a table named 'CUSTOMER REVIEWS' in a column called 'REVIEW TEXT'. Which of the following SQL statements correctly applies the 'SNOWFLAKE.CORTEX.TRANSLATE function and what is the expected return type for the translated text?

A) The query

B) The query

C) The query

D) The query

E) The query

3. A data engineering team is setting up an automated pipeline in Snowflake to process call center transcripts. These transcripts, once loaded into a raw table, need to be enriched by extracting specific entities like the customer's name, the primary issue reported, and the proposed resolution. The extracted data must be stored in a structured JSON format in a processed table. The pipeline leverages a SQL task that processes new records from a stream. Which of the following SQL snippets and approaches, utilizing Snowflake Cortex LLM functions, would most effectively extract this information and guarantee a structured JSON output for each transcript?

A) Option B
B) Option D
C) Option E
D) Option C
E) Option A

4. A developer is building an interactive chat application in Snowflake leveraging the COMPLETE (SNOWFLAKE. CORTEX) LLM function to power multi-turn conversations. To ensure the LLM maintains conversational context and generates coherent responses based on prior interactions, which of the following methods correctly implements the passing of conversation history to the COMPLETE function?

A) Option B
B) Option D
C) Option E
D) Option C
E) Option A

5. 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)

A) Option B
B) Option D
C) Option E
D) Option C
E) Option A

Solutions: