SnowPro Snowpark Specialist: Exam Practice Tests

所在平台: Udemy

课程主页: https://www.udemy.com/course/snowpro-snowpark-specialist-practice-tests/

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课程名称:SnowPro Snowpark 专家:考试模拟测试 课程概述: 该课程专为希望通过 Snowflake 最近发布的 SnowPro Snowpark 专家认证考试的人士设计。适合的学习群体包括 Snowflake 专家、Python 开发者、数据工程师、人工智能或机器学习工程师、数据科学家、数据应用开发者以及具备一定 Python 和 SQL 编程经验的数据分析师。请注意,这不是 Snowflake 的入门课程,参与者应具备一定的 Snowflake 平台知识,并需先通过 SnowPro 核心认证考试。 课程讲师 Cristian Scutaru 是 Snowflake 领域的专家,曾为多项考试题目贡献力量,且本人已经成功通过了多项 SnowPro 考试,包括 SnowPro Specialty Snowpark 考试,成绩为 88%。该课程包含两个高质量的模拟测试,每个测试包含 50 道题目,旨在帮助学员通过线上认证考试。 重点内容: - 模拟考试中的所有题目均与实际考试题目高度相似,主要为场景基础的长题目,尤其针对 Python 开发者而设。 - 学员可以立即查看自己的错误及正确答案,并获得详细解释及外部参考。 - 模拟考试形式多为选择题和多选题。 实际考试的具体信息: - 考试于 2024 年 10 月 21 日宣布,包含 65 至 80 道题目(最多 80 道为测试版)。 - 限时 2 小时(测试版为 115 分钟),预估通过分数为 75%。 - 测试版考试费为每次 112 美元(至 2024 年 12 月 20 日),正式考试为 225 美元。 考试考核内容: - Snowpark 数据解决方案的专业知识、技能及最佳实践。 - 使用 Snowpark DataFrame 功能进行数据转型。 - 作为 Snowpark DataFrame 对象查询数据源。 - 设计操作序列或条件逻辑。 学习建议: - 初次进行模拟测试时无需担心时限或失败,失败是学习的一部分。 - 完成测试后查看答案和解析部分,记住每道题的正误选择,并认真阅读详细解释。 - 鼓励多次重复测试,直到每次得分稳定在至少 90% 以上,然后再参加实际考试。 祝您好运!

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=== I passed this exam with 88%! === Who these practice exams are 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 advanced specialty exam.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.This contains two high-quality practice tests of 50 questions each, to help you become certified as a SnowPro Snowpark Specialist, passing the new online proctored certification exam.All questions are closely emulated from those currently found in the actual exam, so you'll not waste time on anything else.All questions are curated and very similar to the actual exam questions, which are long and scenario-based for the most part.Most exam questions include long portions of code, as this certification is targeted in particular for Python developers.Unlike the real exam, you'll know right away what questions you missed, and what the correct answers are.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 including key 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, as well as experience with data migration.Advanced proficiency writing code in Python and/or PySpark.Exam domain breakdown (download and check the Study Guide)Snowpark Concepts - 15%Snowpark API for Python - 30%Snowpark for Data Transformations - 35%Snowpark Performance Optimization - 20%How you should use these testsTry first practice test. And do not worry about the time limit or if you fail. You are expected to fail, this is how you learn...Stop the exam anytime, if you're not patient enough to go over all the questions.The passing score is estimated at this time to be around 75%. Once you are done, go to the Answers and Explanations section for your test, and check both the right and wrong choices for each individual question (remember these!).Read the detailed Explanation for each question.Repeat with the second practice test. Don't skip it, as both these tests together cover most types of actual exam questions.Repeat these tests again and again, until you score consistently at least 90% on each. And then go for the real deal. Good luck!

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