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

Exam Code: GES-C01
Exam Name: SnowPro® Specialty: Gen AI Certification Exam
Updated: Sep 09, 2026 Q & A: 351 Questions and Answers

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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: Use Cases & Solution Design	- End-to-end GenAI solution architecture - Enterprise AI application patterns in Snowflake
Topic 3: Data Governance & Security	- Data privacy and access controls - Responsible use of AI in enterprise environments
Topic 4: Prompt Engineering	- Optimization of prompts for LLM outputs - Prompt design techniques
Topic 5: Generative AI Fundamentals	- Core concepts of generative AI and LLMs - Model capabilities and limitations
Topic 6: Snowflake AI & Cortex	- Snowflake Cortex capabilities - AI functions and services in Snowflake
Topic 7: Model Evaluation & Responsible AI	- Evaluation metrics for LLM outputs - Bias, fairness, and explainability considerations

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

Question #1

A Streamlit application developer wants to use AI_COMPLETE (the latest version of COMPLETE (SNOWFLAKE.CORTEX)) to process customer feedback. The goal is to extract structured information, such as the customer's sentiment, product mentioned, and any specific issues, into a predictable JSON format for immediate database ingestion. Which configuration of the AI_COMPLETE function call is essential for achieving this structured output requirement?

A. Option C
B. Option B
C. Option A
D. Option D
E. Option E

Answer: A

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Question #2

A Gen AI Specialist is setting up Snowpark Container Services (SPCS) to host a custom open-source LLM. They need to understand the fundamental nature and constraints of image repositories within Snowflake. Which of the following statements accurately describe image repositories in Snowflake's Snowpark Container Services?

A. Image repositories are primarily used for storing pre-trained Snowflake ML models and do not support custom third-party container images.
B. The maximum compressed layer size for an image registry is consistent across all cloud providers and regions, typically 160 GiB.
C. An image repository in Snowflake is an OCIv2 compliant service used exclusively for storing Docker images, not other OCI-compliant container images.
D. Image repositories are storage units within an image registry service, and they are used to store OCI-compliant container images.
E. Dropping individual images from a repository is supported, allowing for granular management of stored container images.

Answer: D

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Question #3

A data team is refining their Cortex Analyst semantic model to improve the accuracy of responses for specific, frequently asked questions and to enable better literal value searches. Consider a semantic model being developed to address these requirements. Which two configurations or features are directly relevant and correctly applied in the semantic model YAML for these purposes?

A. Option C
B. Option B
C. Option A
D. Option D
E. Option E

Answer: B,C

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Question #4

An organization operating in the AWS US West 2 (Oregon) region needs to process sensitive customer support tickets using Snowflake Cortex LLM functions. Due to the diverse availability of specific LLMs, they are considering enabling CORTEX_ENABLED_CROSS_REGION. What is a key data safety and security consideration when enabling CORTEX_ENABLED_CROSS_REGION for Snowflake Cortex LLM functions, specifically regarding data storage and persistence?

A. It enables inference for features not supported in the local region by allowing data to be processed in a different Snowflake region, and user inputs, prompts, and outputs are not stored or cached.
B. User inputs and service-generated prompts will be stored in a cache in the remote region to optimize subsequent requests.
C.
D. Data transmitted across regions for inference is encrypted by default, but the encryption keys are managed by the third-party cloud provider in the remote region.
E. It may lead to increased compute costs if the cross-region model is more expensive, but data movement guarantees remain unchanged.