Snowflake SnowPro® Specialty: Gen AI Certification - GES-C01

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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. 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) The query

C) 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.
D) The function call

E) 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.

2. A development team is implementing a suite of generative AI applications on Snowflake, utilizing both SQL functions and the Cortex REST API. They prioritize content safety and plan to integrate Cortex Guard wherever possible. Considering the various interfaces for interacting with Snowflake Cortex LLMs, which of the following interfaces and functions support the direct use of Cortex Guard via the guardrails' argument or equivalent configuration?

A) The 'SNOWFLAKE.CORTEX.CLASSIFY_TEXT SQL function for text classification tasks.
B) The Snowflake Cortex LLM REST API when invoking the '/api/v2/cortex/inference:complete' endpoint.
C) The 'SNOWFLAKE.CORTEX.COMPLETE SQL function for generative AI tasks.
D) The 'Cortex Playground' (Public Preview) when testing prompts and model settings.
E) The 'SNOWFLAKCORTEX.TRY_COMPLETE SQL function, which is the error-tolerant version of 'COMPLETE.

3. A data engineering manager needs to audit Cortex LLM function costs to identify specific SQL queries that are unexpectedly high in token consumption for the 'llama3.1-8b' model. They require granular analysis of prompt, completion, and guardrail token usage for these queries. Which of the following Snowflake methods or views would provide the necessary insights?

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

4. A data engineer is working with Snowflake Cortex Analyst to improve its ability to answer natural language questions by precisely identifying product names for filtering. They have decided to integrate a Cortex Search Service with their semantic model to enhance literal search for the 'product_name' dimension. Which of the following configurations within the semantic model's YAML file are valid and effective for this purpose?

A) Setting true' for the 'product_name' dimension and providing an exhaustive list of to restrict the model to only those values.
B) Only specifying 'sample_valueS for the 'product_name' dimension without a entry.
C) Including in the semantic model's 'metrics' section, referencing 'product_name'.
D) Adding a entry to the 'product_name' dimension, including 'literal_column' and ensuring the search service is configured to index the physical column:

E) Adding a 'cortex_search_service' entry to the 'product_name' dimension with only the 'service' field:

5.

A) The '_documentMetadata.ocrScore' field will always be present in the root of the JSON output, indicating the confidence in the optical character recognition process for the entire document.
B) The 'audit_statuS field, if not found, will appear in the JSON output as Taudit_status": [{"score": 0.0, "value": null}]}'.
C) For successfully extracted entities like 'net_profit' , the JSON output typically includes an array of objects, each containing both 'score' and 'value' keys.
D) D If 'audit_status' is not found, the 'audit_status' key will be entirely absent from the JSON output for that document.
E) If a 'quantity' cell in is empty, the JSON output for that specific cell will include a 'score' key but omit the 'value' key.

Solutions: