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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-associate-data-engineer-practice-tests/
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课程名称：Databricks认证助理数据工程师-练习测试 课程概述：如果你正在寻找可以帮助你为Databricks数据工程师助理认证考试做准备的练习测试，那么你找到了完美的资源！本课程提供两个与考试格式高度相似的练习测试，并附有详细的解释，以增强你的理解。这些练习测试旨在为你提供必要的知识和信心，让你在参加实际考试前充分准备。 练习测试涵盖的考试主题包括： 1. 理解Databricks湖仓平台及其工具的使用及优点： - 数据湖仓（架构、描述、优点） - 数据科学与工程工作区（集群、笔记本、数据存储） - Delta Lake（一般概念、表管理和操作、优化） 2. 使用Apache Spark SQL和Python构建ETL管道，包括： - 关系实体（数据库、表、视图） - ELT（创建表、将数据写入表、数据清洗、合并和重塑表、SQL用户定义函数） - Python（利用字符串操作和控制流来促进Spark SQL，在PySpark和Spark SQL之间传递数据） 3. 增量处理数据，包括： - 结构化流（一般概念、触发器、水印） - 自动加载（流读取） - 多跳架构（青铜-白银-黄金，流应用程序） - Delta Live Tables（优点和特性） 4. 为数据工程应用和Databricks SQL查询与仪表板构建生产管道，包括： - 任务（调度、任务编排、用户界面） - 仪表板（端点、调度、警报、刷新） 5. 理解并遵循最佳安全实践，包括： - Unity Catalog（优点和特性） - 实体权限（基于团队的权限、基于用户的权限） 考试时长：测试者有90分钟时间完成每个练习考试。 通过这些练习考试后，你将为参加认证考试做好准备，期待你能够顺利通过首次考试！祝你学习愉快！
If you are searching for Practice tests to help you prepare for the Databricks Data Engineer Associate Certification exam, you've found the perfect resource! Here, we offer two practice tests that closely mirror the exam's format, providing you with detailed explanations to enhance your understanding. These practice tests are designed to equip you with the necessary knowledge and confidence before taking the actual exam!The practice tests cover the following exam topics with detailed explanations:The minimally qualified candidate should be able to:Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including:Data Lakehouse (architecture, descriptions, benefits)Data Science and Engineering workspace (clusters, notebooks, data storage)Delta Lake (general concepts, table management, and manipulation, optimizations)Build ETL pipelines using Apache Spark SQL and Python, including:Relational entities (databases, tables, views)ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)Incrementally process data, including:Structured Streaming (general concepts, triggers, watermarks)Auto Loader (streaming reads)Multi-hop Architecture (bronze-silver-gold, streaming applications)Delta Live Tables (benefits and features)Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:Jobs (scheduling, task orchestration, UI)Dashboards (endpoints, scheduling, alerting, refreshing)Understand and follow best security practices, including:Unity Catalog (benefits and features)Entity Permissions (team-based permissions, user-based permissions)DurationTesters will have 90 minutes to complete each practice exam.After passing these practice exams, you will be ready to take the certification exam, and pass on the first try!Happy learning!
