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Snowflake GES-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Embeddings, Vector Search & RAG | - Vector search in Snowflake ecosystem - Embeddings fundamentals - Retrieval-Augmented Generation (RAG) workflows |
| Topic 2: Data Governance & Security | - Responsible use of AI in enterprise environments - Data privacy and access controls |
| Topic 3: Snowflake AI & Cortex | - AI functions and services in Snowflake - Snowflake Cortex capabilities |
| Topic 4: Model Evaluation & Responsible AI | - Evaluation metrics for LLM outputs - Bias, fairness, and explainability considerations |
| Topic 5: Prompt Engineering | - Prompt design techniques - Optimization of prompts for LLM outputs |
| Topic 6: Generative AI Fundamentals | - Model capabilities and limitations - Core concepts of generative AI and LLMs |
| Topic 7: Use Cases & Solution Design | - End-to-end GenAI solution architecture - Enterprise AI application patterns in Snowflake |
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:
1. An ML engineer is preparing a Docker image for a custom LLM application that will be deployed to Snowpark Container Services (SPCS). The application uses a mix of packages, some commonly found in the Snowflake Anaconda channel and others from general open-source repositories like PyPI. They have the following Docker-file snippet and need to ensure the dependencies are correctly installed for the SPCS environment to support a GPU workload. Which of the following approaches for installing Python packages in the Dockerfile would ensure a robust and compatible setup for a custom LLM running in Snowpark Container Services, based on best practices for managing dependencies in this environment?
A)
B)
C)
D)
E) 
2. A Snowflake administrator needs to configure Snowflake Copilot for a team distributed across different geographical regions, some of which are not natively supported for Copilot. Additionally, the team requires Copilot to adopt a specific tone in its responses. Which of the following correctly outlines the configuration steps for these requirements?
A) Option C
B) Option D
C) Option A
D) Option E
E) Option B
3. A new data analyst is trying to incorporate sentiment analysis using SNOWFLAKE. CORTEX. SENTIMENT within a Snowflake data pipeline that uses dynamic tables. They execute the following SQL to create a dynamic table for daily sentiment aggregation:
However, this operation fails. Which of the following is the most direct reason for the failure of this specific setup?
A) The warehouse my_analytics_wh is likely not a Snowpark-optimized warehouse, which is a requirement for Cortex functions within dynamic tables.
B) The review_content column, if containing non-English text, would cause the SENTIMENT function to fail outright rather than produce inaccurate results.
C) The CORTEX_USER database role was not granted to the analyst's role, preventing the execution of Cortex functions.
D) SNOWFLAKE. CORTEX. SENTIMENT and other Snowflake Cortex functions are currently incompatible with dynamic tables.
E) The TARGET_LAG for dynamic tables must be explicitly set to '1 day' or longer when integrating with Cortex functions.
4. A data engineer is tasked with establishing a robust MLOps pipeline using the Snowflake Model Registry. They have trained a scikit-learn model and need to log it. Which of the following statements correctly describes a 'required' step or privilege for successfully logging a model using the 'Registry.log_model' method?
A) Option C
B) Option D
C) Option A
D) Option E
E) Option B
5. 
Which of the following is a 'direct cause' of this error related to missing schema-level privileges, assuming the model build name is unique and the warehouse is active and accessible?
A)
B)
C)
D)
E) 
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: E | Question # 3 Answer: D | Question # 4 Answer: E | Question # 5 Answer: E |







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