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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-developer-for-apache-spark-30-practice-exams/
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课程名称：Databricks认证开发人员Spark实践考试2024 课程概述：本课程为准备Databricks认证开发人员Apache Spark 3.0考试（Python版）的学员提供了一套全面且高质量的真实问题集。这些最新的实践考试将帮助您掌握知识，并增强您的自信，以优异的成绩通过考试。共180道题目均为原创，涵盖所有考试主题，尤其针对Python和Apache Spark 3.0进行考察。大多数问题附有详细解释，帮助您从错误中学习，并提供Spark文档和专家内容链接，进一步加深对Spark工作原理的理解。实践考试还包含有价值的考试技巧、代码片段，您可以在Databricks社区版上免费执行这些代码。这些补充材料将助您理解考试中的许多细节和Spark语法，为您的表现打下坚实基础。 课程内容涵盖以下主题： 1. Spark架构：概念理解（约17%）：Spark驱动程序、执行层次结构、DAG、执行模式、部署模式、内存管理、集群配置、容错机制、分区、窄变换与宽变换、执行器、Python与Scala的差异、Spark与Hadoop的比较。 2. Spark架构：应用理解（约11%）：内存管理、配置、惰性求值、动作与变换、洗牌、广播、容错机制、累加器、自适应查询执行、Spark UI、分区。 3. Spark DataFrame API应用（约72%）：选择/丢弃列、重命名列、聚合行、过滤DataFrame、不同类型的连接、分区/合并、不同格式读取和写入DataFrame、字符串函数、数学函数、用户定义函数（UDF）、Spark配置、缓存、collect/take。 所有问题均为原创、高质量问题，绝非简单的Databricks Spark认证备考材料。这些实践考试专为Python版本考试设计，若您准备Scala版本考试，仅有51道Spark架构问题适用，DataFrame API应用问题专注于Python语法。 让我们一起努力，帮助您获得认证资格！准备好通过Databricks认证助理开发人员Apache Spark 3.0考试了吗？立即点击“立即购买”，尽享以下好处： - 包含3套实践考试，共180道高质量问题，模拟原考试。 - 随时多次参加考试。 - 如有疑问可获得讲师支持。 - 大部分问题提供详细解释及额外资源链接，深入学习。 - 可通过桌面、平板或手机随时随地访问考试，使用Udemy应用。 - 不满意可享受30天退款保证。 期待您的加入，希望您顺利通过考试，迈出成为Databricks认证助理开发人员的一步！黙示：该课程和认证没有获得Apache软件基金会的认可。“Spark”、“Apache Spark”和Spark标志是Apache软件基金会的商标。本课程未获得Databricks赞助或与其关联。
If you have been looking for a comprehensive set of realistic, high-quality questions to practice for the Databricks Certified Developer for Apache Spark 3.0 exam in Python, look no further!These up-to-date practice exams provide you with the knowledge and confidence you need to pass the exam with excellence. All 180 questions have been written from scratch, based on the actual distribution of topics and tone in the real exam. The questions cover all themes being tested for in the exam, including specifics to Python and Apache Spark 3.0.Most questions come with detailed explanations, giving you a chance to learn from your mistakes and have links to the Spark documentation and expert web content, helping you to understand how Spark works even better.These practice exams come with valuable exam tips & tricks and code snippets that you can execute for free on the Databricks Community Edition. These supplemental materials will help you understand the many tricky details of the exam and the Spark syntax, giving you the knowledge and confidence you need to be a top performer in the real exam!SAMPLE QUESTIONCurious about what a high-quality question looks like? Here is an example from the DataFrame API section of the practice exams!Question:Which of the following code blocks returns approximately 1000 rows, some of them potentially being duplicates, from the 2000-row DataFrame transactionsDf that only has unique rows?1. transactionsDf.take(1000).distinct()2. transactionsDf.sample(False, 0.5)3. transactionsDf.take(1000)4. transactionsDf.sample(True, 0.5)5. transactionsDf.sample(True, 0.5, force=True)Correct Answer:4. transactionsDf.sample(True, 0.5)Explanation:To solve this question, you need to know that "DataFrame.sample()" is not guaranteed to return the exact fraction of the number of rows specified as an argument. Furthermore, since duplicates may be returned, you should understand that the operator's "withReplacement" argument should be set to "True". A "force=" argument for the operator does not exist.While the "take" argument returns an exact number of rows, it will just take the first specified number of rows ("1000" in this question) from the DataFrame. Since the DataFrame does not include duplicate rows, there is no potential of any of those returned rows being duplicates when using "take()", so the correct answer cannot involve "take()".More info: [Link to the Spark documentation for DataFrame.sample(), available in the practice exams once purchased]COURSE CONTENTThe practice exams cover the following topics:Spark Architecture: Conceptual understanding (ca. 17 %): Spark driver, execution hierarchy, DAGs, execution modes, deployment modes, memory management, cluster configurations, fault tolerance, partitioning, narrow vs. wide transformations, executors, Python vs. Scala, Spark vs. HadoopSpark Architecture: Applied understanding (ca. 11%): Memory management, configurations, lazy evaluation, action vs. transformation, shuffles, broadcasting, fault tolerance, accumulators, adaptive query execution, Spark UI, partitioningSpark DataFrame API Applications (ca. 72%): Selecting/dropping columns, renaming columns, aggregating rows, filtering DataFrames, different types of joins, partitioning/coalescing, reading and writing DataFrames in different formats, string functions, math functions, UDFs, Spark configurations, caching, collect/takeAll questions are original, high-quality questions, not anything like Databricks Spark certification dumps.These practice exams are specifically for the Python version of the exam. If you have been preparing to the take exam in Scala, only the 51 included Spark Architecture questions will apply to you, as the DataFrame API Applications questions focus on Python syntax exclusively.LET'S GET YOU CERTIFIED!Ready to pass your Databricks Certified Associate Developer for Apache Spark 3.0 exam? Click "Buy now" and immediately get started with these benefits:Get 3 practice exams with 180 high-quality questions in total, mimicking the original examTake the exams as many times as you would likeGet support from the instructor if you have questionsDive in deeper with the detailed explanations and links to additional resources for most questionsAccess the exams anywhere, anytime on your desktop, tablet, or mobile device through the Udemy app30-days money back guarantee if you are not satisfiedI am excited to have you as a student and to see you pass the exam, taking your next career step as a Databricks Certified Associate Developer for Apache Spark 3.0!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.
