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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-developer-for-spark-30-practice-exams-z/
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课程名称：Databricks认证开发者（Spark 3.0）实践考试 课程概述：Databricks认证开发者（Spark 3.0）实践考试是一种全面的评估工具，旨在评估个人在数据处理和分析中使用Apache Spark 3.0的能力。此实践考试专为希望验证其在Spark 3.0工作中的技能和知识的开发者量身定制。考试涵盖多个主题，包括Spark架构、数据摄取、数据转换、数据分析和性能优化。试题包括选择题，以评估考生对Spark概念、编程技术和最佳实践的理解。参加此实践考试，考生可以深入了解自己在Spark开发中的优缺点，确定需要进一步改进的领域，并为正式认证考试做好准备。这是希望在大数据和分析领域提升职业前景的个人的重要资源。 考试摘要： - 考试名称：Databricks认证助理开发者（Apache Spark 3.0） - 考试代码：DCDA - 考试凭证费用：200美元 - 考试语言：英语 - 考试形式：选择题，多选题 - 题目数量：估计60道题 - 考试时长：120分钟 - 及格分数：70%及以上（60题中的42题） 考试大纲主题： - Spark架构：全面理解（约17%） - Spark架构：实际知识（约11%） - Spark DataFrame API应用（约72%） 学习成果： - 理解Apache Spark应用程序的架构 - 在计算机集群上运行Apache Spark - 学习Apache Spark的执行层次结构 - 从文件和Scala集合创建DataFrame - 使用Spark DataFrame API和SQL函数 - 定义DataFrame的模式并设置列的数据类型 - 运用各种方法操作DataFrame的列 - 根据特定规则过滤DataFrame - 以特定顺序排序数据 - 将复杂数据转换的结果保存到外部存储系统 - 使用JOIN或UNION合并两个数据集 - 处理DataFrame中的NULL值 - 了解Apache Spark应用的不同部署模式 - 使用UDF和Spark SQL函数 - 利用Databricks Community Edition编写Apache Spark代码 总之，Databricks认证开发者（Spark 3.0）实践考试是希望提升Spark 3.0技能的开发者的宝贵资源。本考试旨在模拟实际认证考试，帮助学生测试他们的知识并识别改进领域。提供一套全面的问题和详细的解释，实践考试提供了动手学习体验，帮助学生在Spark 3.0开发中变得熟练。无论您是为认证考试做准备，还是想要提升自己的技能，Databricks认证开发者（Spark 3.0）实践考试都是成功的关键工具。 免责声明：本课程及认证均未获Apache软件基金会支持。“Spark”，“Apache Spark”及其标志均为Apache软件基金会的商标。本课程与Databricks没有赞助或关联关系。
Databricks Certified Developer for Spark 3.0 Practice Exam is a comprehensive assessment tool designed to evaluate an individual's proficiency in using Apache Spark 3.0 for data processing and analytics. This practice exam is specifically tailored for developers seeking to validate their skills and knowledge in working with Spark 3.0. This exam covers various topics including Spark architecture, data ingestion, data transformation, data analysis, and performance optimization. It consists of multiple-choice questions that assess the candidate's understanding of Spark concepts, programming techniques, and best practices. By taking the Databricks Certified Developer for Spark 3.0 Practice Exam, candidates can gain valuable insights into their strengths and weaknesses in Spark development. It allows them to identify areas that require further improvement and helps them prepare for the official certification exam. This practice exam is an essential resource for individuals aiming to enhance their career prospects in the field of big data and analytics. It provides a realistic simulation of the actual certification exam, enabling candidates to familiarize themselves with the exam format and question types. With the Databricks Certified Developer for Spark 3.0 Practice Exam, aspiring Spark developers can confidently assess their readiness for the official certification and take steps towards advancing their expertise in Apache Spark 3.0.Databricks Certified Developer for Spark 3.0 Exam Summary:Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0Exam code: DCDAExam voucher cost: $200 USDExam languages: EnglishExam format: Multiple-choice, multiple-answerNumber of questions: 60 (estimate)Length of exam: 120minutesPassing grade: 70% and above (42 of the 60 questions)Exam Type DatabaseDatabricks Certified Developer for Spark 3.0 Exam Syllabus Topics:Spark Architecture: Comprehensive understanding (approx. 17%)Spark Architecture: Practical knowledge (approx. 11%)Spark DataFrame API Applications (approx. 72%)What are the learning outcomes of this exam?The architecture of an Apache Spark ApplicationLearn to run Apache Spark on a cluster of computerLearn the Execution Hierarchy of Apache SparkCreate DataFrame from files and Scala CollectionsSpark DataFrame API and SQL functionsDifferent techniques to select the columns of a DataFrameDefine the schema of a DataFrame and set the data types of the columnsApply various methods to manipulate the columns of a DataFrameFilter your DataFrame based on specifics rulesSort data in a specific orderSort rows of a DataFrame in a specific orderArrange the rows of DataFrame as groupsHandle NULL Values in a DataFrameUse JOIN or UNION to combine two data setsSave the result of complex data transformations to an external storage systemDifferent deployment modes of an Apache Spark ApplicationWorking with UDFs and Spark SQL functionsUse Databricks Community Edition to write Apache Spark CodeDatabricks Certified Developer for Spark 3.0 Practice Exam is a valuable resource for aspiring developers looking to enhance their skills in Spark 3.0. This practice exam is designed to simulate the real certification exam, allowing students to test their knowledge and identify areas for improvement. With a comprehensive set of questions and detailed explanations, this practice exam provides a hands-on learning experience that helps students become proficient in Spark 3.0 development. Whether you are preparing for the certification exam or simply want to sharpen your skills, the Databricks Certified Developer for Spark 3.0 Practice Exam is an essential tool for success.Disclaimer: Neither this course nor the certification are endorsed by the Apache Software Foundation. The "Spark", "Apache Spark" and the Spark logo are trademarks of the Apache Software Foundation. This course is not sponsored by or affiliated with Databricks.
