SnowPro Advanced: Data Scientist validates advanced knowledge and skills used to apply comprehensive data science principles, tools, and methodologies using Snowflake. It is aimed at data scientists with 2 or more years of hands-on experience using Snowflake in a production environment, and successful candidates may also have experience with Python, R, SQL, or PySpark. Passing demonstrates the ability to outline data science concepts, implement Snowflake best practices, prepare data and use feature engineering, train machine learning models, and use GenAI and LLM capabilities in Snowflake.
Exam Topics
- Data science concepts25%
- Implement Snowflake data science best practices20%
- Prepare data and use feature engineering in Snowflake25%
- Train and use machine learning models15%
- Use GenAI and LLM capabilities in Snowflake15%
How to Use This Practice Exam
- Browse — Read each question, select your answer, and reveal the explanation.
- Exam Mode — Simulate real exam conditions with a timed session and score report.
- Learn Mode — Spaced repetition schedules questions you struggle with for long-term retention.
Last updated December 12, 2025 at 4:39 PM
