Additional Material:

1. Interview Questions & Answers (PDF): Download the complete set of 200+ Interview Questions and Answers in PDF format from the Resources section of Practice Paper 1, Question 1.

2. 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.

3. 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.

4. 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.

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

Note: Please dont forget to watch 10 Mins Introduction videos for detailed understanding of certification exam.

Snowflake SNOWPRO® SPECIALTY: GEN AI Certification – 300+ Practice Questions!

Includes Comprehensive Answer Explanations & Conceptual Insights

Course Description:

Are you an AI/ML Engineer, Data Scientist, Data Engineer, or Data Application Developer ready to validate your advanced Generative AI skills within the Snowflake AI Data Cloud? Do you have 1+ year of Gen AI experience in an enterprise environment, particularly with Snowflake, and advanced Python proficiency? If you’ve already achieved your SnowPro Associate: Platform or SnowPro Core Certification, then this course is your next crucial step!

QuickTechie proudly presents this comprehensive Practice Exam course, meticulously designed to prepare you for the challenging SnowPro® Specialty: Gen AI Certification.

This is NOT a lecture-based course. This Udemy course is exclusively a collection of over 300 meticulously crafted practice questions and their detailed answers, engineered to simulate the actual exam experience and solidify your expertise. We believe that hands-on practice, coupled with clear explanations, is the most effective way to truly master complex concepts for advanced certifications.

Why Choose This Practice Exam Course?

• 300+ Expert-Crafted Questions: Dive into an extensive bank of high-quality questions covering every key concept, feature, and programming construct of the Snowflake Gen AI ecosystem. No stone left unturned!

• 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.

Who is This Course For?

This practice exam course is ideal for:

• AI or ML Engineers

• 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.

• What You’ll Practice (Aligned with Exam Domains):

  Our practice questions are strategically distributed to mirror the official exam domain weightings, ensuring balanced and comprehensive preparation:

  • Domain 1.0: Snowflake for Gen AI Overview (26%): Practice questions on Snowflake’s Gen AI principles, features, best practices, Cortex components (LLMs, Cortex Search, Cortex Analyst, Cortex Fine-tuning, Cortex Agents), Snowflake Copilot, security and privacy, interfaces (Cortex LLM Playground, SQL, REST API), and methods for bringing custom models (Model Registry, Snowpark Container Services).

  • 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.

Note: Snowflake is a trademark of Snowflake Inc. This course material is not affiliated with or endorsed by Snowflake.

Who this course is for:

• AI/ML engineers working with Snowflake in enterprise environments
• Data scientists and analysts with Python and SQL experience
• Data engineers building LLM-based solutions using Snowflake tools
• Developers integrating Gen AI into data applications and workflows
• Professionals holding SnowPro Core or Platform certifications
• Anyone aiming to master Snowflake Cortex, LLMs, Document AI, and governance