Module 16 Cross Region Latency & Data Residency in Snowflake Cortex (SNOWPROⓇ SPECIALTY: GEN AI)

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This is a self-paced guide that will outline the Snowflake domains, objectives, and topics that
will be covered on the SnowPro Specialty: Gen AI Certification Exam. Use of this study.

The SnowPro Specialty: Gen AI Certification Exam tests specialized knowledge, skills, and
best practices used to leverage Gen AI methodologies in Snowflake including key concepts,
features, and programming constructs. The exam will assess skills through scenario-based
questions, interactive questions, and real-world examples.
This certification will test the candidate’s ability to:
● Define and implement Snowflake Gen AI principles, capabilities, and best practices
related to infrastructure, data governance, and cost governance
● Leverage Snowflake Cortex AI features, Large Language Models (LLMs), and offerings
to support customer use cases (for example, Cortex Analyst, Cortex Search, Cortex
Fine-tuning, Snowflake Copilot)
● Build open-source models with Snowpark Container Services and Snowflake Model
Registry (for example, Hugging Face)
The candidate is expected to have knowledge of:
● Snowflake Cortex suite of Gen AI features and their underlying models
● Retrieval Augmented Generation (RAG) applications leveraging LLMs
Target Audience:
Candidates with one or more years of Gen AI experience with Snowflake, in an enterprise
environment. In addition, successful candidates may have advanced proficiency writing code in
Python. Previous data engineering and SQL knowledge is assumed.
This exam is designed for:
● AI or ML Engineers
● Data Scientists
● Data Engineers
● Data Application Developers
● Data Analysts with programming experience
guide does not guarantee certification success.

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