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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-exams-databricks-certified-associate-developer/
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课程名称：练习考试：Databricks认证助理开发者 课程概述：此课程是一个简明的练习考试，旨在帮助您为Databricks认证助理开发者 - Apache Spark（Python）认证考试做准备。与其他资源不同，该考试的问题直接来自Databricks及其他权威来源，不包括与云服务提供商或高级Spark开发相关的无关问题。Databricks建议，任何希望通过考试的学生应具备以下基本资格：理解Spark架构的基础知识，包括自适应查询执行；掌握Spark DataFrame API以完成数据操作任务，包括：选择、重命名和操作列，过滤、删除、排序和聚合行，连接、读取、写入和分区DataFrame，使用用户定义函数（UDF）和Spark SQL函数。 考试共有60个选择题，问题按高层主题分布如下：Apache Spark架构概念 - 17%（10/60），Apache Spark架构应用 - 11%（7/60），Apache Spark DataFrame API应用 - 72%（43/60）。要通过考试，您必须正确回答42/60个问题。 除这些练习考试外，您还可以探索以下官方Databricks资源：讲师指导的课程“Databricks的Apache Spark编程”和自学课程“Databricks的Apache Spark编程（在Databricks Academy中提供）”。此外，还有“认证概述：Databricks认证助理开发者Apache Spark考试”课程。 注意：这些练习问题侧重于考试的Python版本，尽管对于准备Scala版本的考生也有帮助，但会有所不同。
This is a no-frills practice exam that will help you prepare for the Databricks Certified Associate Developer - Apache Spark (Python) certification exam.While other resources include irrelevant questions about cloud providers or advanced Spark development, this exam pulls questions directly from Databricks and other reputable sources. As a reminder, Databricks suggests these as the minimum qualifications for any student looking to pass the exam:Understanding the basics of the Spark architecture, including Adaptive Query ExecutionApply the Spark DataFrame API to complete individual data manipulation task, including:selecting, renaming and manipulating columnsfiltering, dropping, sorting, and aggregating rowsjoining, reading, writing and partitioning DataFramesworking with UDFs and Spark SQL functionsThere are 60 multiple-choice questions on the exam. The questions will be distributed by high-level topic in the following way:Apache Spark Architecture Concepts - 17% (10/60)Apache Spark Architecture Applications - 11% (7/60)Apache Spark DataFrame API Applications - 72% (43/60)You must answer 42/60 questions correctly to pass the exam.In addition to these practice exams, you can explore these official Databricks resources as well:Instructor-led: "Apache Spark Programming with Databricks"Self-paced: "Apache Spark Programming with Databricks (available in Databricks Academy)""Certification Overview: Databricks Certified Associate Developer for Apache Spark Exam" course.NOTE: These practice questions focus on the Python version of the exam. It is still helpful if you're preparing for the Scala version but will have some differences.
