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Instant Download Snowflake : GES-C01 Questions & Answers as PDF & Test Engine
- Exam Code: GES-C01
- Exam Name: SnowPro® Specialty: Gen AI Certification Exam
- Updated: Oct 07, 2026
- No. of Questions: 351 Questions and Answers
- Download Limit: Unlimited
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Snowflake GES-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Document AI | 12% | - Document preparation and processing - Performance optimization and troubleshooting - Data extraction and structured output - Document AI setup and configuration |
| Topic 2: Snowflake for Gen AI Overview | 26% | - Snowflake Copilot and AI assistant capabilities - Role-based access control (RBAC) for AI resources - Snowflake Gen AI principles and best practices - Cortex AI components: Cortex Search, Cortex Analyst, Cortex LLMs |
| Topic 3: Snowflake Gen AI Governance | 22% | - Monitoring, logging, and observability - Guardrails, safety controls, and bias mitigation - Cost management and token-based pricing - Audit and compliance for AI workloads - AI governance framework and policies |
| Topic 4: Snowflake Gen AI & LLM Functions | 40% | - API integration and authentication - Model deployment with Snowpark Container Services and Model Registry - RAG implementation in Snowflake - Cortex LLM functions: COMPLETE, CLASSIFY_TEXT, EXTRACT_ANSWER, SENTIMENT, SUMMARIZE, TRANSLATE - Embedding functions: EMBED_TEXT_*, vector storage and similarity search |
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:
A data processing team is using Snowflake Document AI to extract data from incoming supplier invoices. They observe that many documents are failing to process, and successful extractions are taking longer than expected, leading to increased costs. Upon investigation, they find error messages such as
. Additionally, their 'X-LARGE virtual warehouse is constantly active, contributing to higher-than-anticipated bills. Which two of the following actions are essential steps to troubleshoot and address the root causes of these processing errors and optimize their Document AI pipeline?
- A. Configure the internal stage used for storing invoices with 'ENCRYPTION = (TYPE = 'SNOWFLAKE SSE')'.
- B. Increase the 'max_tokens' parameter within the '!PREDICT' function options to accommodate longer document responses from the model.
- C. Redefine extraction questions to be more generic and encompassing, reducing the number of distinct questions needed per document.
- D. Scale down the virtual warehouse to 'X-SMALL' or 'SMALL' size, as larger warehouses do not increase Document AI query processing speed and incur unnecessary costs.
- E. Implement a pre-processing step to split documents exceeding 125 pages or 50 MB into smaller, compliant files before loading to the stage.
Correct Answer: A,E 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
A new Gen AI specialist is setting up Document AI. They have successfully created the necessary database, schema, and a custom role named 'doc_ai specialist_role'. This custom role has been granted the 'SNOWFLAKE.DOCUMENT INTELLIGENCE CREATOR database role. However, when the specialist attempts to create a new Document AI model build in Snowsight, they receive the error: Unable to create a build on the specified database and schem a. Please check the documentation to learn more.
What is the most likely missing privilege for the that is preventing the model build creation?
- A. The virtual warehouse assigned to the Document AI environment is not large enough to support model build creation.
- B.
- C.
- D.
- E.
Correct Answer: C 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
An enterprise is deploying a new RAG application using Snowflake Cortex Search on a large dataset of customer support tickets. The operations team is concerned about managing compute costs and ensuring efficient index refreshes for the Cortex Search Service, which needs to be updated hourly. Which of the following considerations and configurations are relevant for optimizing cost and performance of the Cortex Search Service in this scenario?
- A. Option D
- B. Option B
- C. Option C
- D. Option E
- E. Option A
Correct Answer: A,B,C,E 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
A Data Engineer is responsible for deploying machine learning models using Snowpark Container Services. They need to ensure that a specific role, model_deployer_role, has the appropriate permissions to create a Snowpark Container Service that uses an image from an existing image repository named my_inferenc_ images. Which of the following SQL commands grant the necessary privileges 'on the image repository' for this purpose?
- A.
- B.
- C.
- D.
- E.
Correct Answer: A,E 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
A Snowflake developer, 'AI _ ENGINEER , is creating a Streamlit in Snowflake (SiS) application that will utilize a range of Snowflake Cortex LLM functions, including SNOWFLAKE. CORTEX. COMPLETE, SNOWFLAKE .CORTEX.CLASSIFY TEXT, and SNOWFLAKE. CORTEX. EMBED TEXT 768. The application also needs to access data from tables within a specific database and schem a. 'AI _ ENGINEER has created a custom role, for the application to operate under. Which of the following privileges or roles are absolutely necessary to grant to for the successful execution of these Cortex LLM functions and interaction with the specified database objects? (Select all that apply.)
- A. The CREATE COMPUTE POOL privilege to provision resources for the Streamlit application.
- B. The USAGE privilege on the specific database and schema where the Streamlit application and its underlying data tables are located.
- C.
- D.
- E. The ACCOUNTADMIN role to ensure unrestricted access to all Snowflake Cortex features.
Correct Answer: B,D 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
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