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Snowflake GES-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake for Gen AI Overview | 26% | - Snowflake Gen AI principles and best practices - Cortex AI components: Cortex Search, Cortex Analyst, Cortex LLMs - Role-based access control (RBAC) for AI resources - Snowflake Copilot and AI assistant capabilities |
| Topic 2: Snowflake Gen AI & LLM Functions | 40% | - RAG implementation in Snowflake - Cortex LLM functions: COMPLETE, CLASSIFY_TEXT, EXTRACT_ANSWER, SENTIMENT, SUMMARIZE, TRANSLATE - Embedding functions: EMBED_TEXT_*, vector storage and similarity search - Model deployment with Snowpark Container Services and Model Registry - API integration and authentication |
| Topic 3: Snowflake Document AI | 12% | - Data extraction and structured output - Document preparation and processing - Document AI setup and configuration - Performance optimization and troubleshooting |
| Topic 4: Snowflake Gen AI Governance | 22% | - Cost management and token-based pricing - Guardrails, safety controls, and bias mitigation - Monitoring, logging, and observability - Audit and compliance for AI workloads - AI governance framework and policies |
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:
1. 
A) 
B) 
C) 
D) 
E) 
2. 
A) 
B) 
C) 
D) 
E) 
3. A data engineering team is developing a Cortex Analyst semantic model in YAML for an e-commerce platform. They need to ensure high accuracy for common queries, improve literal matching for product names, and understand limitations for supported data types. Which of the following statements correctly describe aspects of semantic model configuration or capabilities for these requirements?
A) Option A
B) Option D
C) Option B
D) Option C
E) Option E
4. An operations team is investigating an issue with a generative AI application powered by Snowflake Cortex Analyst, where users reported unexpected behavior in generated SQL. To diagnose the problem, they examine the detailed event logs captured by Snowflake AI Observability. Which categories of information can they expect to find in these event tables to assist their investigation?
A) Any error messages or warnings that occurred during the processing of the request.
B) The exact SQL queries that Cortex Analyst generated in response to user questions.
C) The complete request and response bodies associated with the application's execution steps.
D) Real-time CPU and memory usage statistics for the Snowflake virtual warehouse executing the LLM inference.
E) The full text of the natural language questions submitted by the users.
5. 
A) 
B) 
C) 
D) 
E) 
Solutions:
| Question # 1 Answer: A,B,C,D,E | Question # 2 Answer: A,B,C,E | Question # 3 Answer: A,D | Question # 4 Answer: A,B,C,E | Question # 5 Answer: C |
