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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-exams-microsoft-azure-dp-900/
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**Coursera 课程 "Microsoft Azure DP-900 数据基础" 练习考试总结** 本课程主要为有志于在云端处理数据的初学者提供 Microsoft Azure DP-900 数据基础考试的练习。请注意，这些练习题并非官方题目，但覆盖了考试大纲中的所有知识点。 **课程特点：** * **内容全面：** 练习题旨在帮助您熟悉考试范围，涵盖核心数据概念、Azure 上的关系型和非关系型数据处理、以及 Azure 上的分析工作负载。 * **情景模拟：** 许多题目基于虚构场景，考察您在实际应用中的理解能力。 * **详细解析：** 每道题目都提供详细的解释和参考资料链接，帮助您深入理解和掌握知识点。 * **随机出题：** 题目顺序会随机打乱，确保您真正理解知识点，而非仅仅记忆答案选项。 * **补充学习：** 本课程应作为您官方备考材料的补充，不建议作为唯一学习资源。 * **及时的内容更新：** 考试大纲会定期审查并纳入最新要求，内容更新会不提前通知。 * **反馈机制：** 鼓励学员报告需要关注的内容，以帮助改进练习题。 **目标学员：** * 刚开始在云端处理数据的学员。 * 熟悉关系型和非关系型数据概念。 * 了解事务型和分析型等不同类型的数据工作负载。 **课程可帮助您为以下 Azure 认证做准备：** * Azure Database Administrator Associate * Azure Data Engineer Associate **技能概览（按百分比分配）：** * **描述核心数据概念 (25-30%)** * 数据的表示方式 * 结构化、半结构化和非结构化数据的特性 * 数据存储选项 * 常见数据文件格式 * 数据库类型 * 常见数据工作负载（事务型、分析型） * 数据工作负载的角色和职责（数据库管理员、数据工程师、数据分析师） * **识别 Azure 上关系型数据注意事项 (20-25%)** * 关系型概念和特性 * 数据规范化及其用途 * 常用 SQL 语句和数据库对象 * Azure 关系型数据服务（Azure SQL 系列产品：Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure Virtual Machines） * Azure 开源数据库服务 * **描述 Azure 上非关系型数据注意事项 (15-20%)** * Azure 存储服务（Blob 存储、文件存储、表存储） * Azure Cosmos DB 的能力和特性 * Azure Cosmos DB 的用例和 API * **描述 Azure 上分析工作负载 (25-30%)** * 大规模分析的常见要素 * 数据摄取和处理注意事项 * 分析数据存储选项 * Azure 数据仓库服务（Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, Azure HDInsight, Azure Data Factory） * 实时数据分析注意事项（批处理与流数据差异） * Azure 实时分析服务 * Microsoft Power BI 数据可视化（能力、数据模型、可视化选择） **请注意：** 本课程不包含详细的教学大纲，主要侧重于通过练习题来巩固和检验您对 DP-900 考试知识点的掌握程度。
In order to set realistic expectations, please note: These questions are NOT official questions that you will find on the official exam. These questions DO cover all the material outlined in the knowledge sections below. Many of the questions are based on fictitious scenarios which have questions posed within them.The official knowledge requirements for the exam are reviewed routinely to ensure that the content has the latest requirements incorporated in the practice questions. Updates to content are often made without prior notification and are subject to change at any time.Each question has a detailed explanation and links to reference materials to support the answers which ensures accuracy of the problem solutions.The questions will be shuffled each time you repeat the tests so you will need to know why an answer is correct, not just that the correct answer was item "B" last time you went through the test.NOTE: This course should not be your only study material to prepare for the official exam. These practice tests are meant to supplement topic study material.Should you encounter content which needs attention, please send a message with a screenshot of the content that needs attention and I will be reviewed promptly. Providing the test and question number do not identify questions as the questions rotate each time they are run. The question numbers are different for everyone.This exam is intended for you, if you're a candidate beginning to work with data in the cloud.You should be familiar with:The concepts of relational and non-relational data.Different types of data workloads such as transactional or analytical.You can use Azure Data Fundamentals to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it is not a prerequisite for any of them.Skills at a glanceDescribe core data concepts (25-30%)Identify considerations for relational data on Azure (20-25%)Describe considerations for working with non-relational data on Azure (15-20%)Describe an analytics workload on Azure (25-30%)Describe core data concepts (25-30%)Describe ways to represent dataDescribe features of structured dataDescribe features of semi-structuredDescribe features of unstructured dataIdentify options for data storageDescribe common formats for data filesDescribe types of databasesDescribe common data workloadsDescribe features of transactional workloadsDescribe features of analytical workloadsIdentify roles and responsibilities for data workloadsDescribe responsibilities for database administratorsDescribe responsibilities for data engineersDescribe responsibilities for data analystsIdentify considerations for relational data on Azure (20-25%)Describe relational conceptsIdentify features of relational dataDescribe normalization and why it is usedIdentify common structured query language (SQL) statementsIdentify common database objectsDescribe relational Azure data servicesDescribe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual MachinesIdentify Azure database services for open-source database systemsDescribe considerations for working with non-relational data on Azure (15-20%)Describe capabilities of Azure storageDescribe Azure Blob storageDescribe Azure File storageDescribe Azure Table storageDescribe capabilities and features of Azure Cosmos DBIdentify use cases for Azure Cosmos DBDescribe Azure Cosmos DB APIsDescribe an analytics workload on Azure (25-30%)Describe common elements of large-scale analyticsDescribe considerations for data ingestion and processingDescribe options for analytical data storesDescribe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, Azure HDInsight, and Azure Data FactoryDescribe consideration for real-time data analyticsDescribe the difference between batch and streaming dataIdentify Microsoft cloud services for real-time analyticsDescribe data visualization in Microsoft Power BIIdentify capabilities of Power BIDescribe features of data models in Power BIIdentify appropriate visualizations for data
