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SnowPro Advanced Data Scientist Certification

The SnowPro Advanced: Data Scientist certification validates advanced expertise in applying data science and ML workflows on the Snowflake Data Cloud, from feature engineering to model deployment. It proves your ability to integrate analytics and machine learning with Snowflake’s native capabilities.

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What is SnowPro Advanced Data Scientist Certification about?

This role-based credential tests a professional’s capability to apply comprehensive data science principles using Snowflake. The exam assesses knowledge of statistical and machine learning concepts, data preparation and feature engineering, model development and deployment, and the use of Snowflake-native tools — including GenAI/LLM support — to solve real-world data science problems. It’s designed for those who turn data into actionable insights with scalable, efficient workflows in a production environment.


EXAM FORMAT:

  • Exam Version: DSA-C03
  • Total Number of Questions: 65
  • Question Types: Multiple Select, Multiple Choice, Interactive
  • Time Limit: 115 minutes

What are the objectives of SnowPro Advanced Data Scientist Certification ?

By earning this certification, you demonstrate the ability to: 

  • Outline core data science concepts including statistics, ML problem types, and the ML lifecycle. 
  • Apply Snowflake data science best practices and end-to-end workflows on the platform. 
  • Prepare data and perform feature engineering to support predictive models. 
  • Train, validate, and use machine learning models with Snowflake and integrated tools. 
  • Leverage GenAI, LLM capabilities, and deployment strategies for production-ready AI/ML solutions.

Who is SnowPro Advanced Data Scientist Certification for?

This certification is ideal for professionals with practical data science experience who want to solidify their Snowflake expertise, including: 

  • Data Scientists working with Snowflake in analytics and ML roles. 
  • Machine Learning / AI Engineers building and deploying models at scale. 
  • Applied Scientists & ML Ops Practitioners integrating ML workflows in cloud data architectures. 
  • Advanced Analytics Specialists who design production-grade ML solutions using Snowflake capabilities.

What are the prerequisites for SnowPro Advanced Data Scientist Certification?

Before taking this certification exam, it’s recommended that you have: 

  • Active SnowPro Core certification (or equivalent foundational Snowflake expertise). 
  • 2+ years of hands-on experience using Snowflake as a data science professional in real projects. 
  • Practical experience with data science tools and languages such as Python, R, SQL, or PySpark. 
  • Familiarity with ML model workflows including feature engineering, training, evaluation, and deployment.
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SnowPro Advanced Data Scientist Certification - Certification & Exam

  • SpringPeople is the Authorized Training Partner of Snowflake.
  • The training fees is exclusive of exam cost.
  • For any queries, feel free to reach us at Snowflake@springpeople.com