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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. An organization enforces strict LLM access control. The has configured 'CORTEX MODELS_ALLOWLIST ='mistral-large2" and executed 'CALL SNOWFLAKE.MODELS.CORTEX BASE MODELS REFRESH()'. A developer, whose role DEV ROLE has been granted 'SNOWFLAKE.CORTEX USER' and 'SNOWFLAKE."CORTEX-MODEL-ROLE-CLAUDE-3-5- SONNET"' , attempts to make a REST API call to 'api/v2/cortex/inference:complete' using 'claude-3-5-sonnet' as the model name in the request body. Which of the following statements are true regarding this scenario?

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

2. A data application developer is building a Streamlit chat application within Snowflake. This application uses a RAG pattern to answer user questions about a knowledge base, leveraging a Cortex Search Service for retrieval and an LLM for generating responses. The developer wants to ensure responses are relevant, concise, and structured. Which of the following practices are crucial when integrating Cortex Search with Snowflake Cortex LLM functions like AI_COMPLETE for this RAG chatbot?

A) The

B) The retrieved context from Cortex Search should be directly concatenated with the user's prompt as input to the
C) To maintain conversational context in a multi-turn chat, the developer should pass all previous user prompts and model responses in the

D) For performance and cost optimization, it is always recommended to query Cortex Search and the LLM function within a single
E) Using the

3. A data engineer is setting up an automated pipeline to process incoming documents using Snowflake's AI_PARSE DOCUMENT function. To ensure the pipeline functions without errors, which of the following input requirements or limitations must be strictly adhered to?

A) All documents must be stored in an internal or external stage, but only internal stages support server-side encryption with the SNOWFLAKE_SSE type.
B) Supported file formats for processing include PDF, PPTX, DOCX, JPEG, JPG, PNG, TIFF, TIF, HTML, and TX T, covering a wide range of common document and image types.
C) The maximum file size for any document processed by is AI_PARSE_DOCUMENT 100 MB, and it can handle up to 300 pages per document.
D) To optimize performance, queries calling the Cortex AI_PARSE_DOCUMENT function should be executed in a large warehouse (e.g., XL or larger), as bigger warehouses increase processing speed for this function.
E) For HTML and TXT files, billing for AI_PARSE_DOCUMENT is based on each chunk of 3,000 characters, with the last chunk also being billed even if shorter.

4. A Gen AI specialist is preparing to upload a large volume of diverse documents to an internal stage for Document AI processing. The objective is to extract detailed information, including lists of items and potentially classifying document types, and then automate this process. Which of the following statements represent 'best practices or important considerations/limitations' when preparing documents and setting up the Document AI workflow in Snowflake? (Select ALL that apply.)

A) To improve model training, documents uploaded should represent a real use case, and the dataset should consist of diverse documents in terms of both layout and data.
B) Documents with a page count exceeding 125 pages or a file size greater than 50 MB will be processed, but with a potential reduction in extraction accuracy.
C) If the Document AI model does not find an answer for a specific field, the '!PREDICT method will omit the 'value' key but will still return a 'score' key to indicate confidence that the answer is not present.
D) For continuous processing of new documents, it is best practice to create a stream on the internal stage and a task to automate the '!PREDICT method execution.
E) When defining data values for extraction, especially for nonstandard formats or combinations of values, fine-tuning the model with annotations is generally more effective than relying solely on complex prompt engineering.

5.

A)

B)

C)

D)

E)

Solutions: