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所在平台: Udemy |
课程主页: https://www.udemy.com/course/snowpro-specialty-snowpark-certification-exam/
课程评论：没有评论
课程名称：SnowPro Specialty: Snowpark 认证考试准备 课程概述： 该课程旨在帮助希望通过Snowflake最新发布的SnowPro Snowpark专家认证考试的人员。适合目标群体包括：Snowflake专家、希望提升Snowpark编程技能的开发者、Python开发者、数据工程师、AI或ML工程师，以及具备一定Python和SQL经验的数据科学家和数据分析师。课程不适合初学者，学员应具备较高级的Snowflake知识，并需先通过SnowPro Core认证考试。 讲师介绍： 课程由Cristian Scutaru授课，他是Snowflake领域的世界级专家，拥有丰富的认证考试经验。Cristian在过去的几年中，帮助Snowflake设计了许多考试题目，并且自身也成功通过了8个SnowPro考试，且均为首次尝试。 课程内容： 该课程包含一份高质量的模拟测试，内含30道类似实际SnowPro Specialty: Snowpark认证考试的问题，这些问题都与真实考试题目密切相关，大部分为长篇场景题，并包含大量代码，特别针对Python开发者。每道题都有详细的解释及外部参考信息，多数为多选和多选题。 考试具体信息： - 预计于2024年10月21日发布 - 考试题目数量在65到80道之间（测试版考试80道） - 时间限制少于2小时（测试版115分钟） - 预计及格分数约为75% - 测试版考试费用为112美元，正式考试后费用为225美元 考试评估内容： 考查考生在Snowflake中构建Snowpark DataFrame数据解决方案的专业知识、技能和最佳实践。考生需掌握Snowpark API、数据转换与优化、使用Snowpark构建操作序列或条件逻辑等。 目标学员应具备： - 1年以上Snowpark相关经验，且在企业环境中使用 - 熟悉Snowpark API及其客户端和服务器端功能 - 有数据迁移经验 - 精通Python和/或PySpark编程 课程适合希望提升自身能力并获得Snowflake AI数据云编程认证的开发者。
=== 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%
