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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-exams-dp-203-data-engineering-on-microsoft-azure/
课程评论：没有评论
课程名称：实践考试 - DP-203：微软Azure上的数据工程 课程概述：准备迎接一场动态的考试备考体验！虽然这些问题并不是官方考试中的确切题目，但它们全面涵盖了您需要掌握的所有知识。课程将通过多种场景带您进入，每个场景中都有旨在测试您知识的问题。此外，我们会定期审查和更新官方考试要求，以保持您的练习题新鲜并符合最新标准。让我们尽可能有效并与时俱进地进行学习！ 课程内容：作为一名Azure数据工程师，您将帮助利益相关者通过数据探索来理解数据，并使用不同的工具和技术构建和维护安全合规的数据处理管道。您将使用各种Azure数据服务和框架来存储和生成经过清理和增强的数据集，供分析使用。这些数据存储可以根据业务需求设计成不同的架构模式，包括现代数据仓库（MDW）、大数据以及湖仓架构。 此外，作为Azure数据工程师，您还负责确保数据管道和数据存储的运作高效、组织有序和可靠，以满足一系列业务需求和约束。您要识别和排除操作及数据质量问题，还需设计、实施、监控和优化数据平台，以满足数据管道的要求。 考试候选人需具备数据处理语言的扎实知识，包括：SQL、Python、Scala。您需要理解并行处理和数据架构模式，应熟练使用以下工具创建数据处理解决方案：Azure数据工厂、Azure Synapse分析、Azure流分析、Azure事件中心、Azure数据湖存储以及Azure Databricks。
Get ready for a dynamic exam prep experience! While these aren't the exact questions you'll see on the official exam, they comprehensively cover everything you need to know. Dive into a mix of scenarios, each packed with questions designed to test your knowledge. Plus, we're always on the ball, regularly reviewing and updating the official exam requirements to keep your practice questions fresh and in line with the latest standards. Let's make your study sessions as effective and up-to-date as possible!Here is what you will learn:As an Azure data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. This data store can be designed with different architecture patterns based on business requirements, including:Modern data warehouse (MDW)Big dataLakehouse architectureAs an Azure data engineer, you also help to ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You help to identify and troubleshoot operational and data quality issues. You also design, implement, monitor, and optimize data platforms to meet the data pipelines.As a candidate for this exam, you must have solid knowledge of data processing languages, including:SQLPythonScalaYou need to understand parallel processing and data architecture patterns. You should be proficient in using the following to create data processing solutions:Azure Data FactoryAzure Synapse AnalyticsAzure Stream AnalyticsAzure Event HubsAzure Data Lake StorageAzure Databricks
