SnowPro Gen AI Specialty Certification Full Length Mock Test

Learning Objectives

Configure and optimize Cortex Search with hybrid retrieval strategies and semantic model architectures

Implement granular governance controls using CORTEX_MODELS_ALLOWLIST and application role-based access

Debug Gen AI applications using observability tools including tracing, metrics, and specialized ACCOUNT_USAGE views

Design Document AI extraction workflows and integrate Copilot, Analyst, and Agents for complete Gen AI solutions

This comprehensive assessment validates your advanced understanding of Snowflake's Generative AI capabilities through 40 challenging questions that simulate actual certification exam conditions. Building upon foundational knowledge, this test emphasizes deeper technical implementation across all four critical domains: Gen AI Overview (26%), LLM Functions (40%), Governance (22%), and Document AI (12%). You'll navigate complex scenarios involving semantic model configuration, hybrid search optimization, model registry operations, and multi-step observability debugging. The assessment features diverse question types including multi-select problems, RBAC configuration challenges, and real-world troubleshooting scenarios across retail, healthcare, and financial service contexts. Each question tests not just conceptual knowledge but practical decision-making skills required for architecting production-grade Gen AI solutions. Through questions covering Verified Query Repositories, embedding operations, guardrail implementations, and fine-tuning workflows, you'll demonstrate mastery of both technical mechanics and strategic architectural choices essential for Snowflake Gen AI professionals.

SnowPro Gen AI Specialty Certification Full Length Mock Test - 02

Learning Objectives

Overview

Prerequisites