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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-900-azure-data-fundamental/
课程评论：没有评论
**课程名称：DP-900 Azure 数据基础练习题** **课程概述：** 本课程旨在帮助您为 Microsoft DP-900 "Microsoft Azure 数据基础" 认证考试做好准备。DP-900 是一个入门级认证，旨在评估您对核心数据服务和 Microsoft Azure 数据服务的知识。通过此考试将为您在 Azure 云数据领域，如数据工程师、数据科学家、数据分析师等职业发展奠定坚实基础，并带来更好的就业机会。 **考试详情：** * **考试名称：** Exam DP-900: Microsoft Azure Data Fundamentals * **考试时长：** 60 分钟 * **考试形式：** 选择题 * **题目数量：** 40 - 60 题 * **考试费用：** 99 美元（视国家/地区而定） * **先决条件：** 无 * **考试有效性：** 终身 **考试内容涵盖：** * **描述核心数据概念 (15%-20%)：** * 描述核心数据工作负载的类型。 * 描述批处理和流式数据。 * 描述数据分析的核心概念。 * **描述 Azure 中的关系数据处理方法 (25%-30%)：** * 描述关系数据工作负载。 * 描述关系型 Azure 数据服务，包括 PaaS、IaaS 和 SaaS 交付模型的比较。 * 识别关系数据的基本管理任务，包括关系数据服务的预配和部署。 * 描述使用 SQL 语言的数据查询技术。 * **描述 Azure 中的非关系数据处理方法 (25%-30%)：** * 描述非关系数据工作负载。 * 描述 Azure 上的非关系数据产品。 * 识别非关系数据的基本管理任务。 * **描述 Azure 分析工作负载 (25%-30%)：** * 描述分析工作负载。 * 描述现代数据仓库的组成部分。 * 描述 Azure 中的数据摄取和处理。 * 描述 Microsoft Power BI 中的数据可视化。 **目标学员：** * 希望通过 Microsoft DP-900 考试的学员。 * 希望进入 Azure 云数据相关职位的学员，如数据工程师、数据科学家、数据分析师等。
The Microsoft Azure DP-900 exam is the best example of a basic level of qualification to prove your knowledge of core data services and Microsoft Azure data services. Applicants are looking for accurate information on the preparation of DP-900 exams due to the favorable job opportunities associated with Microsoft Azure details.Exam Name: Exam DP-900: Microsoft Azure Data FundamentalsExam Duration 60 MinutesExam Type Multiple Choice ExaminationNumber of Questions 40 - 60 QuestionsExam Fee $99 (Depends on Country)Eligibility/Pre-requisite NoneExam validity LifetimeExam Languages English, Japanese, Korean, and Simplified ChineseAreas CoveredDescribe types of core data workloads, batch and streaming data, and core concepts of data analytics.Describe relational data workloads, relational Azure data services such as comparing PaaS, IaaS, and SaaS delivery models.Identify basic management tasks for relational data including provisioning and deployment of relational data services and describing query techniques for data using SQL language.Describe non-relational data workloads and non-relational data offerings on Azure and describe provisioning and deployment of non-relational data services.Describe analytics workloads and components of a modern data warehouseDescribe data ingestion and processing on Azure and data visualization in Microsoft Power BIDomains Covered in DP-900 ExamAnother significant factor that all candidates should consider for the successful training of the DP-900 exam is the overview of the exam skills. Applicants with a better understanding of the exam topics and weighting of the exam domains can gain a general impression of the exam prior to their preparation. The following topics can be found in the DP-900 certification test.Describing core data concepts- 15% to 20%Describe the approaches to work with relational data on Azure- 25% to 30%Describing approaches to work with non-relational data on Azure- 25% to 30%Description of an Azure analytics workload- 25% to 30%The preparation guide for the DP-900 exam can become better with an outline of the subtopics covered in each domain. Here is a reflection on the subtopics you can find in different domains of the DP-900 certification exam.Section 1: Describing core data conceptsThe subtopics in this domain are,Describing types of core data workloads.Describing core concepts of data analytics.Section 2: Describe the approaches to work with relational data on AzureThe subtopics in this domain are,Description of relational data workloads.Description of relational Azure data services.Identification of basic management tasks for relational data.Description of query techniques for data by leveraging SQL language.Section 3: Describing approaches to work with non-relational data on AzureThe subtopics in this domain are,Describing non-relational data workloads.Describing non-relational data offerings on Azure.Identification of basic management tasks for non-relational data.Section 4: Description of an Azure analytics workloadThe subtopics in this domain are,Describing analytics workloads.Describing the components of a modern data warehouse.Description of data ingestion and processing on Azure.Describing data visualization in Microsoft Power BI.Who this course is for:Those who want to pass the Microsoft exam DP-900Those who want to enter in to Azure Cloud Data related profiles like Data Engineer, Data Scientist, Data Analyst etc
