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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-associate-data-engineer/
课程评论：没有评论
**课程名称：** Databricks Certified Associate Data Engineer Practice Exams **课程概述：** 本课程提供由Certification Champs精心设计的Databricks认证助理数据工程师模拟考试。本课程旨在帮助考生通过认证考试，并通过提供高质量的模拟练习来为实际考试做好准备。 **课程亮点：** * **高质量题库：** 包含90道精心制作的题目，分布在2套模拟测试中，完全按照Databricks考试大纲设计。 * **真实考试体验：** 每道题均旨在考察实际考试中的一个主题，并提供详细的解释，帮助考生获得真实的考试感受。 * **深入的概念讲解：** 题目解析不仅提供深入的解释，还详细阐述了问题背后的概念，帮助考生全面理解。 * **助您一次通过：** 旨在帮助考生在第一次尝试时就顺利通过认证考试。 **关键知识点（以Databricks Job Cluster为例）：** * **Job Cluster的特点：** * Job Cluster在运行任务时由任务调度器自动创建，并在任务结束后自动终止，生命周期与任务绑定。 * Job Cluster不能被多个用户共享。 * Job Cluster不能像all-purpose cluster一样按需重启。 * Job Cluster并非仅限于Python语言，可支持Databricks支持的任何语言。 * **All-Purpose Cluster的特点：** * All-Purpose Cluster可以通过UI、CLI或REST API创建。 * Multiple users can share an all-purpose cluster. * All-purpose clusters can be restarted as per need. * All-purpose clusters will not terminate when the job ends (unless configured to do so). * All-purpose clusters are not language-dependent and can be used with any language supported by Databricks notebooks. **考试大纲（共五部分）：** 1. Databricks Lakehouse Platform (24%) 2. ELT with Spark SQL and Python (29%) 3. Incremental Data Processing (22%) 4. Production Pipelines (16%) 5. Data Governance (9%) **重要建议：** 虽然通过考试的及格线为70%，但建议在参加实际考试前，在每次模拟考试中至少达到85%的正确率。 **免责声明：** 本课程题目由Certification Champs团队设计，旨在提供与实际考试相似的难度和风格。Certification Champs与Databricks或Apache无任何关联。 **祝您考试顺利！**
Passing an exam is not an easy task and acing it is even more difficult and that is why we, at Certification Champs, offer Practice exams that are right from the top drawer of the top shelf.UPDATE: Check the Announcement section for the exam-day revision notes PDF These carefully handcrafted 90 questions distributed in 2 practice tests in accordance with the Databricks exam syllabus give you an integrated feel of the actual exam. Each question is made to test one of the topics of the actual exam and gives you a detailed explanation for every question. These practice exams enable you to clear the certification in your first attempt.The explanation part of the questions not only gives you an in-depth explanation but also explains the concept behind the question in detail.Let's get you started with a sample question from the practice exam.Question: Which of the following is TRUE about a Job cluster in Databricks?A Job cluster can be created using the UI, CLI or REST APIMultiple users can share a Job clusterJob clusters can be restarted as per needThe Job cluster terminates when the Job endsJob cluster works only with Python Language notebooksCorrect Option: Option 4 (The Job cluster terminates when the Job ends)ExplanationLet us look at the options and see which option is correct for a Job cluster.A Job Cluster can be created using the UI, CLI or REST APIINCORRECT. A job cluster is created by the job scheduler when you run a job. It cannot be created using the UI, CLI or REST API.Multiple users can share a Job clusterINCORRECT. A job cluster cannot be shared between users as it is automatically created and terminated.Job clusters can be restarted as per needINCORRECT. An all-purpose cluster can be restarted as per need, but a job cluster is for one-time use only.The Job cluster terminates when the Job endsCORRECT. As it is a one-time use cluster, it is terminated as the job ends.Job cluster works only with Python language notebooksINCORRECT. A job cluster is not confined to Python language notebooks, it can be used for other languages notebooks too.As you would know, there are two types of clusters in Databricks - a Job cluster and an All-purpose cluster.Additionally, let's quickly check which of the above options are valid for an all-purpose cluster.1. An all-purpose cluster can be created using the UI, CLI or REST API - TRUE2. Multiple users can share an all-purpose cluster - TRUE3. All-purpose clusters can be restarted as per need - TRUE4. An all-purpose cluster terminates when the job ends - FALSE5. All-purpose clusters work only with Python language notebooks - FALSEAlso note, that the clusters (any type) can be used with any language supported by Databricks notebooks. A cluster is not bound to a language. The same cluster can run Python code and can also be used for executing SQL statements. The clusters are not language-dependent.CERTIFICATION SYLLABUSThe certification syllabus is distributed in five sections:Databricks Lakehouse Platform - 11 questions i.e. 24%ELT with Spark SQL and Python - 13 questions i.e. 29%Incremental Data Processing - 10 questions i.e. 22%Production Pipelines - 7 questions i.e. 16%Data Governance - 4 questions i.e. 9%IMPORTANT NOTEAlthough the passing percentage is just 70% you should consider getting at least 85% in each practice exam before going for the actual exam.DISCLAIMERThese questions are designed by our team to give you a feel of the level of questions asked in the actual exam. We are not affiliated to Databricks or Apache.For more information, you can find us on LinkedIn!Best of luck for your exam!
