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via Udemy |
Go to Course: https://www.udemy.com/course/snowpro-specialty-snowpark-certification-exam/
Certainly! Here is a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review: Mastering Snowpark for Snowflake Certification with Cristian Scutaru** I recently completed this course and am proud to share that I passed the SnowPro Snowpark Specialist certification exam with an impressive score of 88%. This course is an exceptional resource for anyone aiming to deepen their understanding of Snowflake’s Snowpark and achieve certification. **Who is this course for?** This course is tailored for experienced professionals who already possess advanced knowledge of Snowflake. It is ideal for: - Snowflake experts seeking to enhance their programming skills with Snowpark - Python developers aspiring to certify in Snowflake AI Data Cloud programming - Data Engineers, Data Scientists, ML Engineers, and Data Application Developers working with Snowpark - Data Analysts with some Python and SQL background looking to expand their expertise Please note, this is **not** an introductory course; a solid foundation in Snowflake is necessary. Additionally, passing the SnowPro Core certification is a prerequisite for this specialty exam. **Instructor's Expertise** Cristian Scutaru, the instructor, is a renowned Snowflake Subject Matter Expert and a former Snowflake Data Superhero. His extensive involvement in creating exam questions and passing over 40 certification exams himself demonstrates his deep expertise. His insights and real-world experience significantly enrich the course content, making complex concepts accessible and exam-focused. **Course Content and Materials** The course includes a high-quality practice test with 30 questions that closely resemble those in the actual SnowPro Snowpark exam. These questions are carefully curated, scenario-based, and often long-form, mimicking the real exam’s structure—especially valuable for Python developers. Every practice question comes with detailed explanations and external references, aiding understanding and retention. The course covers key areas such as Snowpark concepts, API for Python, data transformations, and performance optimization. **Exam Details and Preparation** The upcoming exam, scheduled for October 21, 2024, features 65-80 questions within a 2-hour limit, with a passing score around 75%. The beta exam offers a reduced fee of $112 USD, with registration open until December 20, 2024. Preparation focused on this course will help you understand the exam’s core topics: - Snowpark concepts and API for Python (~30%) - Data transformations using Snowpark (~35%) - Performance optimization (~20%) - Snowpark concepts (~15%) **My Experience and Recommendation** Having personally passed the exam with an 88%, I can attest to the effectiveness of this course. Cristian’s detailed explanations, combined with the realistic practice questions, provided me with confidence and clarity. This course is highly recommended for professionals who want targeted, practical preparation for the Snowpark Specialty Certification. **Final Verdict** If you are a developer or data professional with some Snowflake experience and are serious about earning the Snowpark Specialty Certification, this course is an excellent investment. It not only prepares you for the exam but also enhances your understanding of Snowpark’s powerful capabilities. --- **Score:** 5/5 – Highly recommended for dedicated learners aiming to excel in Snowpark certification. --- Feel free to reach out if you'd like a more tailored review or additional details!
=== I passed this exam with 88%! ===Who this course is forPeople 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 InstructorMy 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 questionsAll 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 examAnnounced on Oct 21, 2024Between 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 forSpecialized 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 have1+ 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%