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 FoundationsSnowflake 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 RegistryPractice Test 2 – Cortex, Search, and AI ApplicationsCortex Core, LLM selection, helper and vector functionsCortex Search, Analyst, Agents, and semantic modelsLLM functions and structured AI outputsAI pipelines, chat interfaces, and document parsingPerformance design, external models, containers, and ML lifecyclePractice Test 3 – Governance, Cost, and ObservabilityModel access controls and safety guardrailsCortex cost monitoring and optimization strategiesAI observability and application evaluationAdmin monitoring, usage views, and metering analysisLLM configuration and operational oversight</
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What you'll learn
- understand the architecture of Snowflake for Gen AI
- apply vector data and embeddings in AI applications
- manage model governance using Snowflake Model Registry
- monitor AI costs and optimize models effectively
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