|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-900-microsoft-certification/
课程评论：没有评论
课程名称：DP-900 Azure Data Fundamentals - 完整的实践测试 课程概述：欢迎参加高质量的DP-900：微软Azure数据基础实践测试，旨在帮助您为DP-900考试做准备，并为未来的考试（如Azure数据工程师助理和Azure数据库管理员）铺平道路。这些测试将帮助您在2023/24年为DP-900考试做好充分准备，涵盖最新的变化并添加最新的问题。课程最后更新日期为2024年1月15日，共有140个问题分为三个实践集。所有问题均提供更新的解释和参考链接，均指向微软的在线文档。此课程的特点包括详细解释、随时更新的测试、精心挑选的独特问题、高评分反馈、移动兼容性以及30天退款保证。 此考试是展示核心数据概念及相关微软Azure数据服务知识的机会。考生需对DP-900的自学或由讲师指导的学习资料有一定的了解。此考试适合刚开始在云中处理数据的候选人。考生应熟悉关系数据和非关系数据的概念，以及事务型和分析型数据负载等不同类型的工作负载。Azure数据基础知识可用作准备其他Azure角色认证（如Azure数据库管理员助理或Azure数据工程师助理）的基础，但不是任何认证的先决条件。 测量的技能包括： - 描述核心数据概念（25-30%） - 识别Azure上关系数据的注意事项（20-25%） - 描述在Azure上处理非关系数据的注意事项（15-20%） - 描述Azure上的分析工作负载（25-30%） 功能组包括： 1. 核心数据概念的描述 2. Azure上关系数据的考量 3. Azure上非关系数据的考量 4. Azure上的分析工作负载描述 课程内容涵盖数据存储选项、常见数据工作负载的特征、Azure SQL产品家族、Azure Blob存储、Azure Cosmos DB的能力和特征、数据可视化工具Power BI等方面的知识。 该课程为希望掌握Azure数据服务基础知识的学习者，提供了全面的测试和资源支持。
Welcome to the top-quality DP-900: Microsoft Azure Data Fundamentals practice tests to help you prepare for your DP-900 exam and pave the way for future exams like Azure Data Engineer Associate and Azure Database Administrator.These tests will help you in preparing for the DP-900 exam in 2023/24. All the latest changes are covered. The latest questions are added for the preparation. Course Updates:last updated: 15/01/2024Total 140 questions were divided into three practice sets.Updated explanationsThe course offers the following features: DETAILED EXPLANATIONS, REFERENCE LINKS - Every question has a detailed explanation and reference links to Microsoft online documentation.ALWAYS UP TO DATE - These practice tests are constantly updated with new questions and based on the student's feedback.HANDPICKED UNIQUE QUESTIONS - We have picked selective questions emphasizing on quality rather than quantity. 5 * * * * * feedbackMOBILE-COMPATIBLE30-day MONEY BACK GUARANTEEThis exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900's self-paced or instructor-led learning material.This exam is intended for candidates beginning to work with data in the cloud.Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.Azure Data Fundamentals can be used 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 measured· Describe 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%)Functional groupsDescribe core data concepts (25-30%)Describe ways to represent data· Describe features of structured data· Describe features of semi-structured· Describe features of unstructured dataIdentify options for data storage· Describe common formats for data files· Describe types of databasesDescribe common data workloads· Describe features of transactional workloads· Describe features of analytical workloadsIdentify roles and responsibilities for data workloads· Describe responsibilities for database administrators· Describe responsibilities for data engineers· Describe responsibilities for data analystsIdentify considerations for relational data on Azure (20-25%)Describe relational concepts· Identify features of relational data· Describe normalization and why it is used· Identify common structured query language (SQL) statements· Identify common database objectsDescribe relational Azure data services· Describe the Azure SQL family of products including Azure SQL Database, Azure SQL· Managed Instance, and SQL Server on Azure Virtual Machines· Identify Azure database services for open-source database systemsDescribe considerations for working with non-relational data on Azure (15-20%)Describe capabilities of Azure storage· Describe Azure Blob storage· Describe Azure File storage· Describe Azure Table storageDescribe capabilities and features of Azure Cosmos DB· Identify use cases for Azure Cosmos DB· Describe Azure Cosmos DB APIsDescribe an analytics workload on Azure (25-30%)Describe common elements of large-scale analytics· Describe considerations for data ingestion and processing· Describe options for analytical data stores· Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data FactoryDescribe consideration for real-time data analytics· Describe the difference between batch and streaming data· Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streamingDescribe data visualization in Microsoft Power BI· Identify capabilities of Power BI· Describe features of data models in Power BI· Identify appropriate visualizations for data
