SnowPro Specialty: GenAI Practice Exams with 250+ questions

About this course

Disclosure: This course contains the use of artificial intelligence.

This course delivers an end-to-end deep dive into Snowflake with Gen AI, designed to fully prepare learners for the Snowflake Gen AI certification through four progressively structured practice exams. The curriculum covers the complete Gen AI lifecycle on Snowflake—from foundation models and vector search to production deployment, observability, cost governance, and AI operations.

Learners gain hands-on, exam-aligned understanding of SNOWFLAKE.CORTEX, fully managed LLMs, RAG pipelines, vector embeddings, semantic and literal search, AI-powered analytics, and secure model management. High-Level Topics Covered (Across 4 Practice Exams)Practice Test 1 – Gen AI Foundations

Snowflake for Gen AI architecture using SNOWFLAKE.CORTEXVector data, embeddings, and similarity functionsLLM usage, fine-tuning, cross-region inference, and BYOMSnowflake ML forecasting and Snowflake CopilotModel governance via Snowflake Model Registry

Practice Test 2 – Cortex, Search, and AI Applications

Cortex Core, LLM selection, helper and vector functions

Cortex Search, Analyst, Agents, and semantic modelsLLM functions and structured AI outputsAI pipelines, chat interfaces, and document parsing

Performance design, external models, containers, and ML lifecycle

Practice Test 3 – Governance, Cost, and Observability

Model access controls and safety guardrails

Cortex cost monitoring and optimization strategiesAI observability and application evaluation

Admin monitoring, usage views, and metering analysisLLM configuration and operational oversight</

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