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

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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. An organization is planning to deploy Snowflake Cortex Agents for sensitive financial reporting, requiring strict adherence to data governance policies and clear understanding of cost drivers. Which of the following statements about governance and cost considerations for Cortex Agents are true?

A) Usage costs for Cortex Agents are primarily driven by the number of tokens processed by the underlying LLMs for orchestration and the compute/service costs of tools like Cortex Analyst and Cortex Search.
B) To use a semantic model with Cortex Agents, the role executing the agent request requires only the SNOWFLAKE .CORTEX_AGENT_USER role, as it implicitly inherits all necessary privileges for semantic model access.
C) The CORTEX_DOCUMENT_PROCESSING_USAGE_HISTORY view provides detailed credit consumption for Cortex Agent activities, including orchestration steps and tool usage.
D) Cortex Agents are powered by Snowflake-hosted LLMs by default, ensuring that all customer data and prompts remain within Snowflake's governance boundary.
E) Monitoring of Cortex Agent interactions for debugging and refinement is exclusively performed through internal Snowflake system logs, with no external SDK support.

2. A data operations team is attempting to scale up their Document AI automated pipeline. They are using a Snowflake Task to process a large volume of daily scanned invoices and receipts, which are stored in an internal stage 'financial_docs stage'. The current processing involves documents that are frequently around 75 MB each, and often there are batches exceeding 1 ,200 documents in a single day. The pipeline is failing consistently. Which of the following factors could be contributing to the failures in this Document AI automated pipeline? (Select all that apply.)

A) The was created without specifying 'ENCRYPTION = (TYPE = 'SNOWFLAKE SSE')'.
B) The account role executing the task lacks the 'SNOWFLAKCORTEX USER database role, which is a prerequisite for Document AI functions.
C) The Snowflake Task is configured as a 'SERVERLESS TASK, which is not supported by Document AI.
D) The number of documents in a single daily batch (exceeding 1 ,200) surpasses Document AI's processing limit per query.
E) The individual document size (75 MB) exceeds the maximum supported file size for Document AI.

3. A data engineer is setting up a Document AI pipeline to extract information from scanned invoices stored in an internal stage named 'invoice_stage'. They have created the stage using 'CREATE STAGE and uploaded several PDF documents. However, when attempting to run the extraction query, they encounter an error message: 'File extension does not match actual mime type. Mime- Type: application/octet-stream'. Additionally, they anticipate a privilege issue might arise for pipeline automation. Which of the following conditions must be met to resolve the current error and ensure proper setup for Document AI extraction and subsequent pipeline creation?

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

4. An enterprise is deploying a Cortex Analyst application and needs to manage its cost, ensure data security, and understand its operational behavior within Snowflake. Which of the following statements are true regarding the deployment, cost, and security of Cortex Analyst and its semantic models?

A) Enabling the account parameter is the recommended approach for using Azure OpenAI models with Cortex Analyst to ensure the highest performance and adherence to RBAC restrictions.
B) Semantic models for Cortex Analyst, stored as YAML files in a Snowflake stage, should have their stage access controlled by RBAC to implicitly control access to the underlying tables referenced in the semantic model.
C) Cortex Analyst applications are fully managed, and by default, all data, including metadata and prompts, remain within Snowflake's governance boundary when using Snowflake-hosted LLMs from Mistral and Meta.
D) Administrators can monitor Cortex Analyst requests, including the user, question asked, generated SQL, and errors, by querying the SNOWFLAK LOCAL. CORTEX ANALYST_REQUESTS function.
E) The CORTEX_ANALYST_USER database role is sufficient for making requests to Cortex Analyst, and the cost incurred is solely based on the number of tokens processed by the underlying LLMs, not per message.

5. 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) Using the
B) For performance and cost optimization, it is always recommended to query Cortex Search and the LLM function within a single
C) To maintain conversational context in a multi-turn chat, the developer should pass all previous user prompts and model responses in the
D) The retrieved context from Cortex Search should be directly concatenated with the user's prompt as input to the
E) The

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