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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cca175-practice-tests-includes-a-test-environment-vm/
课程评论：没有评论
课程名称：[LEGACY-SUPPORT ENDED] CCA175 练习测试 课程概述： *重要通知* 本课程已经被退役，不再提供支持。最初旨在帮助学生通过已退役的Cloudera认证考试，虽然这些材料仍然对希望提升Spark和Hadoop集群技能的学习者有用，但主要关注于证书的准备工作，许多学生因此成功完成了课程。 该课程提供5套已完全解决的练习测试，旨在帮助学生为CCA Spark与Hadoop开发者认证做准备，并顺利通过CCA175考试。报名该课程的学生可以100%有信心，在完成这里的测试题目后，他们将处于非常有利的位置，可以顺利通过CCA175考试。 随着大数据、机器学习与数据科学职位的不断增长，对合格人才的需求也在增加。为了在竞争中脱颖而出，获得认证往往是必要的。本考试准备系列旨在帮助你通过Cloudera认证CCA175。这是一个实践性很强的考试，主要集中在使用Apache Spark解决大数据问题上。 通过解决本课程中的问题，学生将具备应对考试中任何问题的必要技能与信心。 课程内容： (a) 本课程包含5套与CCA175考试大纲直接相关的练习测试。 (b) 所有问题均提供了详细的解决方案。 (c) 课程还包括Verulam Blue虚拟机，该环境内已安装Spark Hadoop集群，供学生进行实践。该虚拟机包含一个Spark环境，可以从HDFS读取和写入数据，并将元数据表存储在Hive元存储中。此外，所有问题所需的数据集已预先加载到HDFS中，学生无需额外操作。虚拟机还安装了Apache Zeppelin，并附带已执行的Zeppelin笔记本，包含所有问题的解决方案。 在实践中，学生将获得在Spark Hadoop环境中的动手机会，涵盖以下内容： - 将存储在HDFS中的数据值转换为新格式，并写入HDFS。 - 从HDFS加载数据到Spark应用，并将结果写回HDFS。 - 以多种文件格式读写文件。 - 使用Spark API对数据执行标准的提取、转换和加载（ETL）过程。 - 将元存储表作为Spark应用的输入源或输出目标。 - 理解并查询Spark中的数据集基础知识。 - 使用Spark过滤数据。 - 编写计算汇总统计的查询。 - 使用Spark连接不同的数据集。 - 生成排序或排名数据。 通过这一系列的练习测试，学生将为进入日益增长的技术领域做好充分准备。
*Important Notice*This course has been retired and is no longer receiving support. Originally designed to help students pass the now-retired Cloudera Certification exams, the material remains useful for those wanting to practice their skills on Spark and Hadoop clusters. However, its primary focus was certification preparation, which many students successfully completed.5 fully solved practice tests to help you prepare for the CCA Spark & Hadoop Developer certification & helps pass the CCA175 exam.Students enrolling on this course can be 100% confident that after working on the test questions contained here they will be in a great position to pass the CCA175 exam.As the number of vacancies for big data, machine learning & data science roles continue to grow, so too will the demand for qualified individuals to fill those roles.It's often the case the case that to stand out from the crowd, it's necessary to get certified.This exam preparation series has been designed to help YOU pass the Cloudera certification CCA175, this is a hands-on, practical exam where the primary focus is on using Apache Spark to solve Big Data problems.On solving the questions contained here you'll have all the necessary skills & the confidence to handle any questions that come your way in the exam.(a) There are 5 practice tests contained in this course. All of the questions are directly related to the CCA175 exam syllabus.(b) Fully worked out solutions to all the problems.(c) Also included is the Verulam Blue virtual machine which is an environment that has a spark Hadoop cluster already installed so that you can practice working on the problems.• The VM contains a Spark stack which allows you to read and write data to & from the Hadoop file system as well as to store metastore tables on the Hive metastore.• All the datasets you need for the problems are already loaded onto HDFS, so you don't have to do any extra work.• The VM also has Apache Zeppelin installed with fully executed Zeppelin notebooks that contain solutions to all the questions.Students will get hands-on experience working in a Spark Hadoop environment as they practice:• Converting a set of data values in a given format stored in HDFS into new data values or a new data format and writing them into HDFS.• Loading data from HDFS for use in Spark applications & writing the results back into HDFS using Spark.• Reading and writing files in a variety of file formats.• Performing standard extract, transform, load (ETL) processes on data using the Spark API.• Using metastore tables as an input source or an output sink for Spark applications.• Applying the understanding of the fundamentals of querying datasets in Spark.• Filtering data using Spark.• Writing queries that calculate aggregate statistics.• Joining disparate datasets using Spark.• Producing ranked or sorted data.
