Prepare Snowflake SNOWPROⓇ SPECIALTY:GEN AI Certification

Interview Questions & Answers (Audio Book 4 Hr. 0 Mins): Download the complete set of 200+ Interview Questions and Answers in PDF format from the Resources section of Practice Paper 1, Question 2.

Study Guide (PDF – Full Syllabus): Access the comprehensive study guide covering the entire certification syllabus from the Resources section of Practice Paper 1, Question 1.

PDF Backup (Q&A Formatting): If you notice any question formatting issues, simply download the PDF version from the Resources section of Practice Paper 1, Question 1.

Sample Video Lectures (3 Topics): Watch selected 5–10 minute videos on key topics. Links are available under Question-2 of practice paper-1.

Comprehensive Answer Explanations: Every single question comes with a detailed, step-by-step explanation for both the correct answer and why the incorrect options are wrong. This transforms every practice session into a powerful learning opportunity.

Exam Simulation: Familiarize yourself with the exact format and rigor of the official NAS-C01 exam, including Multiple Select, Multiple Choice, and Interactive-style questions. Build confidence by practicing under timed conditions.

Identify & Bridge Knowledge Gaps: Our structured approach allows you to pinpoint your weak areas, enabling you to focus your study time exactly where it's needed most.

Authored by an Expert: Developed by Rashmi Shah from QuickTechie, a trusted name in career growth and technical certification preparation.

Data Scientists

Data Engineers

Data Application Developers

Data Analysts with programming experience

Any professional with 1 or more years of Gen AI experience in a production environment using Snowflake.

Candidates with advanced proficiency in Python coding, and assumed knowledge of data engineering and SQL.

Prerequisite: Must hold an active SnowPro Associate: Platform or SnowPro Core Certification.

Domain 2.0: Snowflake Gen AI & LLM Functions (40%): Extensive practice on applying general and task-specific Cortex functions (e.g., COMPLETE, CLASSIFY_TEXT, EMBED_TEXT), Cortex Search, Cortex Analyst, Cortex Fine-tuning, Cortex Agents, vector and helper functions, performing data analysis with fully-managed LLMs, RAG, text-to-SQL, building chat interfaces, and integrating Cortex functions into pipelines.

Domain 3.0: Snowflake Gen AI Governance (22%): Questions covering model access controls, restricting model access (e.g., CORTEX_MODELS_ALLOWLIST), data safety and security, REST API authentication, setting guardrails to filter harmful LLM responses, reducing hallucinations and bias, and monitoring/optimizing Cortex costs.

Domain 4.0: Snowflake Document AI (12%): Practice on Document AI setup, preparing documents, training models, understanding format/size limits, optimizing questions, extracting values, automating data pipelines, and troubleshooting common issues.