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Online Version
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Snowflake GES-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Document AI | 12% | - Data extraction and structured output - Document preparation and processing - Performance optimization and troubleshooting - Document AI setup and configuration |
| Topic 2: Snowflake for Gen AI Overview | 26% | - Snowflake Copilot and AI assistant capabilities - Cortex AI components: Cortex Search, Cortex Analyst, Cortex LLMs - Snowflake Gen AI principles and best practices - Role-based access control (RBAC) for AI resources |
| Topic 3: Snowflake Gen AI Governance | 22% | - Cost management and token-based pricing - Guardrails, safety controls, and bias mitigation - AI governance framework and policies - Monitoring, logging, and observability - Audit and compliance for AI workloads |
| Topic 4: Snowflake Gen AI & LLM Functions | 40% | - Model deployment with Snowpark Container Services and Model Registry - API integration and authentication - Embedding functions: EMBED_TEXT_*, vector storage and similarity search - RAG implementation in Snowflake - Cortex LLM functions: COMPLETE, CLASSIFY_TEXT, EXTRACT_ANSWER, SENTIMENT, SUMMARIZE, TRANSLATE |
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:
1. An ML Engineer has developed a custom PyTorch model for GPU-powered inference and successfully built an OCI-compliant image locally. They now need to push this image to a Snowflake image repository and configure a Snowpark Container Service to use it. The Snowflake account identifier is my org_name_my_account_id_prod. Which set of commands correctly demonstrates tagging the local image and pushing it to the repository?
A) Option D
B) Option B
C) Option C
D) Option E
E) Option A
2. A data application developer is using the Snowflake Cortex COMPLETE function to power a multi-turn conversational AI application. They want to ensure responses are creative but not excessively long, adhere to a specific JSON structure, and are filtered for safety. Given the following SQL query snippet, which statements accurately describe the impact of the specified options?
A) The
B) The
C) For a multi-turn conversation, previous user prompts and model responses should be passed in the
D) Setting
E) Including a
3. A data architect is designing a workflow to programmatically extract highly structured data from various text inputs using Snowflake Cortex AI's AI_COPIPLETE function through its REST API. They require the output to strictly adhere to a complex JSON schema for downstream processing and need to manage associated costs. Which of the following statements accurately describe aspects of this approach?
A) Option D
B) Option B
C) Option C
D) Option E
E) Option A
4. 
A)
B)
C)
D)
E) 
5. A Snowflake administrator is designing a new role, 'doc_ai_pipeline_creator' , intended to configure and deploy Document AI extraction pipelines. This role needs the ability to ensure that the designated virtual warehouse, 'analytics_wh', can be reliably started and stopped as needed for Document AI tasks. Which of the following SQL statements grants the privilege that directly enables the 'doc ai_pipeline_creator' role to control the operational state of 'analytics_wh'?
A)
B)
C)
D)
E) 
Solutions:
| Question # 1 Answer: B,E | Question # 2 Answer: A,B,E | Question # 3 Answer: A,C,E | Question # 4 Answer: B,C,D,E | Question # 5 Answer: D |

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