SnowPro Specialty: Snowpark Certification Training

Course and Practice Exams, to help you become a Snowpark Specialist with a new Snowflake certification

=== I passed this exam with 88%! ===

Who this course is for

• People trying to pass the new SnowPro Snowpark 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 SnowPro Specialty: Snowpark Certification Exam (SPS-B01) advanced specialty exam.

About your Instructor

• 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 8 SnowPro exams myself, all from the first attempt. Including this SnowPro Specialty Snowpark exam, with 88%.

• 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.

The course also contains one high-quality practice test with 30 exam-like questions

• All questions are closely emulated from those currently found in the actual SnowPro Specialty: Snowpark certification exam.

• All questions are curated and very similar to the actual Snowpark Specialist exam questions.

• Many exam questions are long and scenario-based.

• Most exam questions include long portions of code, as this certification is targeted in particular for Python developers.

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

• Quiz question types are mostly multi-choice and multi-select.

Specifics of the real exam

• Announced on Oct 21, 2024

• Between 65 and 80 questions (80 for the beta exam)

• Less than 2 hours time limit (115 minutes for the beta exam)

• Passing score of around 75% (must be estimated later on)

• $112 US fee per attempt for the beta exam (until Dec 20, 2024)

• or $225 US fee per attempt when going live (since Jan 2025)

What the exam will test you for

• Specialized knowledge, skills, and best practices used to build Snowpark DataFrame data solutions in Snowflake.

• Key Snowflake concepts, features, and programming constructs.

• Perform data transformations using Snowpark DataFrame functions.

• Query data sources as Snowpark DataFrame objects.

• Connect to Snowflake using a Snowpark Session object.

• Process results client-side or persist results in Snowflake through Snowpark DataFrame actions.

• Design a sequence of operations or conditional logic with Snowpark stored procedures.

What the typical candidate may have

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

• Knowledge of the Snowpark API for Python and Snowpark’s client-side and server-side capabilities.

• Some experience with data migration.

• Advanced proficiency writing code in Python and/or PySpark.

Exam domain breakdown (from the Study Guide)

• Snowpark Concepts - 15%

• Snowpark API for Python - 30%

• Snowpark for Data Transformations - 35%

• Snowpark Performance Optimization - 20%

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