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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-azure-data-fundamentals-practice-tests/
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课程名称：DP-900 Microsoft Azure 数据基础实践测试 课程概述：通过DP-900: Azure 数据基础考试，您将向现任及未来雇主展示您的专业知识。Azure是全球最受欢迎和广泛使用的商业云之一，而数据正在成为企业最宝贵的资产。掌握核心的Azure数据服务、存储机制、安全套件和核心技术将使您的简历独树一帜。获得此认证可能为您在云计算和技术行业打开高薪工作的机会。云计算就是未来，您的职业成长和收入潜力从这一刻开始。我们的Azure数据基础实践测试题基于正式的DP-900学习指南和在线各种相关的Azure数据服务文档。此外，我们的问题经过认证的Azure云工程师验证和确认。每个问题都附有详细的解释，帮助您真正掌握概念，理解为什么正确答案成立，以及其他选项为什么不正确。我们的练习测试旨在模拟真实的考试，问题的提问方式与真实考试完全相同，同时附有详细解释、图示和有价值的参考链接，帮助您学习。我们的实践测试将是您准备的最后一步。请相信我们，我们花了大量时间精心挑选这些问题。我们将全程陪伴您。我们的唯一问题是——您准备好了吗？让我们立即帮助您获取认证。 DP-900考试将测试您以下关键技能： 1. 描述核心数据概念（25-30%） - 描述数据表示方式 - 描述结构化、半结构化和非结构化数据的特征 - 确定数据存储选项及常见数据文件格式 - 描述数据库类型及常见的数据工作负载 - 描述数据库管理员、数据工程师和数据分析师的职责 2. 确定Azure上关系数据的注意事项（20-25%） - 描述关系概念和关系数据特征 - 识别常见的结构化查询语言（SQL）语句及数据库对象 - 描述关系Azure数据服务，包括Azure SQL产品家族 3. 描述在Azure上处理非关系数据的注意事项（15-20%） - 描述Azure存储、Blob存储和表存储的能力与特性 - 确定Azure Cosmos DB的用例和API 4. 描述Azure上的分析工作负载（25-30%） - 描述大型分析的共同元素及数据摄取和处理的注意事项 - 描述分析数据存储的选项及Azure的数据仓储服务 - 描述Microsoft Power BI的数据可视化能力及模型特性 通过本课程，您将为DP-900认证考试做好充分准备，开启您的云计算职业生涯。
PASSING the DP-900: Azure Data Fundamentals examination will demonstrate your subject matter expertise to your current and future employers. Azure is one the most popular and widely used commercial clouds in the world, and data is becoming a businesses most valuable asset. Understanding the core Azure data services, storage mechanisms, security suite, and core technologies will separate your resume from the rest. This certification can potentially land you a high-paying job in the cloud & tech industry. The cloud is the future, and your career growth and earning potential starts here with DP-900: Azure Data Fundamentals. Our Azure Data Fundamentals practice test questions are based off the official DP-900: Azure Data Fundamentals Study Guide, and various associated azure data services documentations available online. Additionally, our questions were verified and validated by certified Azure cloud engineers. And to make it even better, we provided detailed explanations to each question, so you can truly master the concepts, understand why the answer is correct, and most importantly, why the other answer choices are wrong. We designed our practice tests to mimic the real exam. Our questions are asked the exact same way as the real exam, and they come with detailed explanations, diagrams, and valuable reference links to help you learn. Our practice tests will be the final step of your preparation. Please trust us, we spent hours curating these questions. We will be with you every step of the way. Our only question is this - are you ready? Let's get you certified right now.The DP-900: Azure Data Fundamentals examination will test you on these key skills: (1.) 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 analysts(2.) Identify 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 SQLManaged Instance, and SQL Server on Azure Virtual MachinesIdentify Azure database services for open-source database systems(3.) Describe 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 APIs(4.) Describe 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, Azure HDInsight, and Azure Data FactoryDescribe consideration for real-time data analyticsDescribe the difference between batch and streaming dataDescribe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured StreamingDescribe data visualization in Microsoft Power BIIdentify capabilities of Power BIDescribe features of data models in Power BIIdentify appropriate visualizations for data
