[NEW] SnowPro Specialty: GenAI

About this course

Detailed Exam Domain Coverage

Snowflake for Gen AI Overview (26%): Snowflake’s Gen AI principles, features, and best practices. Covers Snowflake Cortex components including LLMs, Cortex Search, Cortex Analyst, Cortex Fine-tuning, and Cortex Agents. Also covers Snowflake Copilot capabilities, and security, privacy, and access control principles like RBAC, guardrails, and required privileges.

Snowflake Gen AI & LLM Functions (40%): Cortex LLM functions and usage including SNOWFLAKE.CORTEX.COMPLETE, TRANSLATE, and SUMMARIZE. Covers vector functions for similarity and retrieval-augmented generation, Cortex Search configuration, building RAG pipelines, and integrating LLM calls within Snowpark or external applications.

Snowflake Gen AI Governance (22%): Cost monitoring and optimization for Gen AI workloads utilizing CORTEX_FUNCTIONS_USAGE_HISTORY and token pricing. Focuses on Role-Based Access Control (RBAC) for LLMs and Cortex features, security and data privacy considerations for AI models, and observability and auditing of Gen AI operations.

Snowflake Document AI (12%): Extracting structured data from unstructured documents like PDFs and images using Document AI. Includes training and troubleshooting custom document models and integrating Document AI outputs with downstream Snowflake workflows.

Description

Preparing for the SnowPro Specialty: GenAI certification requires a deep understanding of designing, implementing, governing, and scaling generative AI solutions directly on the Snowflake Data Cloud. I have designed this comprehensive practice test course to mirror the actual exam environment, helping you validate your knowledge of Snowflake Cortex AI capabilities, Document AI, LLM functions, and the strict security and operational best practices required in modern data ecosystems.

The actual exam consists of 55 questions with a time limit of 85 minutes and requires a passing score of 750 out of 1000. To ensure you are f

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