Updated SnowPro Advanced: Data Scientist Certification Announcement—What to Expect

The SnowPro Advanced: Data Scientist Certification is an opportunity to demonstrate advanced knowledge and skills relative to comprehensive data science principles, tools, and methodologies using Snowflake. The SnowPro Advanced: Data Scientist Certification validates a data practitioner’s understanding of Snowflake data science best practices and how they should be implemented. Snowflake continues to evolve its data science pipeline offerings and feature engineering functionalities. The SnowPro Advanced: Data Scientist Certification has been generally available to all customers since October 2021, but the latest iteration will account for product evolutions, like training machine learning (ML) models with Snowpark, that will be reflected in this updated version of the exam to be released on May 23, 2023.

If you are currently certified, you will not need to take the new version of the exam to maintain your certification status and digital badge but will follow the recertification exam procedures two years after you originally passed the exam. The exam format for both certifications are as follows:

If you are currently studying and wondering how this change will impact you as a learner, please review our Frequently Asked Questions (FAQs) to know what to expect in the updated version. Overall, the number of domains remains the same but have been revised and reorganized for clarification and modernization. A few of the task objectives have been eliminated from the updated content outline; they covered topics that were already sufficiently covered in other areas of the blueprint or are no longer relevant. 

The intended audience for the SnowPro Advanced: Data Scientist Certification is mostly data scientists and AI or ML engineers, but any person with at least two years of practical data science experience with Snowflake in an enterprise environment is encouraged to take this exam. Please keep in mind that being SnowPro Core Certified is a prerequisite for all advanced exams. 

Here are our recommended steps to success for exam preparedness:

1. Review Data Scientist Exam Guide
2. Download the Data Scientist Exam Study Guide
3. Review Exam Registration Instructions and Register

You may find additional resources from our training portal where you can browse through all Snowflake’s current offerings. As a prerequisite to the SnowPro Advanced: Data Scientist Certification, we recommend either the Data Science Training or the Snowflake Snowpark DataFrame Programming Training. The Data Science Training is a three-day, instructor-led course for developing the skills and experience necessary to utilize the Snowflake Data Cloud for data science workloads. This course covers key concepts, features, considerations, and best practices for building out data science solutions within Snowflake. The Snowflake Snowpark DataFrame Programming Training is a one-day, instructor-led course that covers key concepts, features, and programming constructs in Snowpark—the developer framework that brings native SQL, Python, Java, and Scala support to Snowflake. 

Haven’t made up your mind on getting certified with us yet? Check out what other #SnowPros have recently shared about the value of attaining our certification and how they prepared for our exams. 

For any questions regarding SnowPro Certifications, please submit a ticket to our Snowflake Education and Training team.