=== I passed this exam with 86%! ===

Who these practice exams are for

• People trying to pass the new SnowPro Gen AI Specialist certification exam issued recently by Snowflake.

• Snowflake experts trying to improve their programming skills learning Snowpark.

• Python developers willing to acquire a certification in Snowflake AI Data Cloud programming.

• Data Engineers and AI or ML Engineers.

• Data Scientists and Data Application Developers.

• Data Analysts with some Python and SQL programming experience.

This is not an introduction to Snowflake, as you should already have some rather advanced knowledge on this platform. Passing the SnowPro Core certification exam is also a requirement for this advanced specialty exam.

My name is Cristian Scutaru and I’m a world-class expert in Snowflake, SnowPro SME (Subject Matter Expert) and former Snowflake Data Superhero. For several years, I helped Snowflake create many of the exam questions out there. Many of the Advanced exam questions and answers from the SnowPro exams have been indeed created by me.

I passed over the years most of the SnowPro exams myself, all from the first attempt. Including this SnowPro Specialty Generative AI exam, with 86%! In the last 3-4 years alone, I passed over 40 paid proctored certification exams overall. And I still never failed one, I was lucky so far.

Some of my Data Science and Machine Learning certifications

• AWS Certified in Machine Learning

• Microsoft Azure Data Scientist Associate

• Microsoft Azure AI Engineer Associate

• TensorFlow Developer Certificate

• Alteryx Machine Learning Fundamentals Certified

• Dataiku MLOps Practitioner Certified

• Neo4j Graph Data Science Certified

• TigerGraph Graph Algorithms for Machine Learning

This contains two high-quality practice tests of 55 questions each, to help you become certified as a SnowPro Gen AI Specialist, passing the new online proctored certification exam.

• All questions are closely emulated from those currently found in the actual exam, so you’ll not waste time on anything else.

• All questions are curated and very similar to the actual exam questions, which are rather short as well for the most part.

• Some exam questions include short portions of SQL code, as this certification is targeted also for SQL developers.

• Unlike the real exam, you’ll know right away what questions you missed, and what the correct answers are.

• Detailed explanations with external references for any possible choice, in each practice test question.

• Quiz question types are mostly multi-choice and multi-select, emulating as structure the ones you’ll get at the exam.

Specifics of the real exam

• Announced in 2025, as a beta specialty exam

• 55 questions

• 85 minutes time limit

• Passing score of around 75%

• Valid for 2 years

• $225 US fee per attempt

What the exam will test you for

• Define and implement Snowflake Gen AI principles, capabilities, and best practices.

• Leverage Cortex AI features, LLMs, and offerings to meet customer use cases.

• Build open-source models with Container Services and Snowflake Model Registry.

• Use Document AI to train and troubleshoot models specific to customer use cases.

What the typical candidate may have

• 1+ years of Gen AI experience with Snowflake, in an enterprise environment.

• Optional experience with writing code in Python.

• Previous data engineering and SQL knowledge is assumed.

• Expected knowledge of Snowflake Cortex suite of Gen AI features and their underlying models.

• Expected knowledge of Retrieval Augmented Generation (RAG) applications leveraging LLMs.

Exam domain breakdown (download and check the Study Guide)

• Snowflake for Gen AI Overview – 26%

• Snowflake Gen AI & LLM Functions – 40%

• Snowflake Gen AI Governance – 22%

• Snowflake Document AI – 12%

How you should use these tests

• Try first practice test. And do not worry about the time limit or if you fail. You are expected to fail, this is how you learn…

• Stop the exam anytime, if you’re not patient enough to go over all the questions.

• The passing score is estimated at this time to be around 75%. Once you are done, go to the Answers and Explanations section for your test, and check both the right and wrong choices for each individual question (remember these!).

• Read the detailed Explanation for each question.

• Repeat with the second practice test. Don’t skip it, as both these tests together cover most types of actual exam questions.

• Repeat these tests again and again, until you score consistently at least 90% on each. And then go for the real deal.

• Good luck!

[Disclaimer: We are not affiliated with or endorsed by Snowflake, Inc.]

Who this course is for:

• AI or ML Engineers
• Data Scientists
• Data Engineers
• Data Application Developers
• Data Analysts with programming experience