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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-apache-spark-3-tests-scala-python/
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Coursera 课程总结：Databricks Certified Apache Spark 3.0 (Scala & Python) 考试练习 本课程提供高质量的 Spark 3.0 认证考试练习，包含 Scala 和 Python 版本，每种各有 120 道题目。课程旨在帮助学员评估并巩固对 Databricks Certified Associate Developer for Apache Spark 考试所需知识的掌握程度。 **核心内容与测试重点：** * **Spark 架构（概念理解，约 17%）：** * 核心组件（Driver, Executor, Slot, Node, Job, Stage）及其关系。 * Spark 3.0 新增特性：Adaptive Query Execution (AQE)。 * **Spark 架构（应用理解，约 11%）：** * 集群配置。 * 部署模式。 * **Spark DataFrame API 应用（约 72%）：** * 语法应用。 * `coalesce` 与 `repartition` 的区别与应用。 * `cache` 和 `persist` 的不同类型。 * 不同文件格式（parquet, text, JSON）的读写。 * DataFrame Join 操作。 * Transformation 与 Action 的区分。 * Lazy evaluation（惰性求值）机制。 * 注册 UDF (User Defined Functions)。 * Broadcast 变量。 * Spark SQL 的使用。 * 分区数控制。 * 垃圾回收 (Garbage Collection)。 **课程特色：** * **全面覆盖：** 题目内容紧密围绕 Spark 3.0 官方认证考试大纲。 * **实战练习：** 通过大量的练习题帮助学员检验知识点掌握情况。 * **详尽解析：** 针对错题提供详细解释，加深理解。 * **版本兼容：** 虽然主要针对 Spark 3.0，也可用于测试 Spark 2.3 的知识。课程中会包含约 5 道关于 Spark 3.0 新功能的题目。 * **社区反馈：** 提供“精选问题”页面，收录学员在真实考试中遇到的题目。 **重要提示：** 本课程提供的是练习题，而非考试泄题。其主要目的是帮助学员评估和提升 Spark 3.0 的知识水平。
TWO complete high-quality practice tests up to date of 120 questions in Python and Scala each will help you master your Databricks Certified Associate Developer for Apache Spark exam (not affiliated):These practice exams will help you assess and ensure that you are fully prepared for the final examination.Any question you might fail will contain an explanation to understand the correct answerAlthough this test was designed for Spark 3.0 you can use it to test your knowledge of Spark 2.3. You have around 5 questions in each test for new functions that are introduced with Spark 3.0.You will be testing your knowledge on the following topics:Spark Architecture: Conceptual understanding (~17%):You should have basic knowledge on the architecture. You need to understand the concepts of slot, driver, executor, stage, node, job etc. and the relations in between.Adaptive Query Execution (New in Spark 3.0)Spark Architecture: Applied understanding (~11%):Scenario-based Cluster configurationDeployment ModesSpark DataFrame API Applications (~72%):Syntax related questionsCoalesce vs repartitionCache and Persist typesRead and Write parquet/text/JSON fileData frame JoinsTransformation vs ActionLazy evaluationRegistering UDFBroadcastSpark SQLPartition numberGarbage CollectionYou will also have access to topics that our students had on their exam on "Featured Questions" page!Are you ready to assess yourself and practice the Databricks Certified Associate Developer for Apache Spark 3.0 exam?See you in the course!Note: these are not exam dumps. The questions main goal is to assess your Apache Spark 3.0 knowledge.
