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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-300-administering-microsoft-azure-sql-solutions-c/
课程评论：没有评论
课程名称：DP-300：管理 Microsoft Azure SQL 解决方案 概述： Microsoft DP-300 课程，又称为“在 Microsoft Azure 上管理关系数据库”，是一门认证课程，旨在教授学生如何在 Microsoft Azure 平台上管理和维护关系数据库。该课程旨在为学生提供必要的知识和技能，以便在 Azure 中管理和维护数据库，同时为 DP-300 认证考试做好准备。 课程目标： 作为考试的候选人，您应具备在多个工作负载下构建数据库解决方案的专业知识，特别是使用 SQL Server 本地解决方案和 Azure SQL 服务的经验。您是一名数据库管理员，负责管理基于 SQL Server 和 Azure SQL 服务的本地及云数据库。作为 Azure 数据库管理员，您将实施和管理基于 SQL Server 和 Azure SQL 服务构建的云原生和混合数据平台解决方案的操作性方面。 课程内容： 本课程使用多种方法和工具来执行和自动化日常操作，包括运用 Transact-SQL (T-SQL) 及其他工具进行管理。考试评估您完成以下技术任务的能力： - 规划和实施数据平台资源 - 实施安全环境 - 监控、配置和优化数据库资源 - 配置和管理任务的自动化 - 规划和配置高可用性与灾难恢复 (HA/DR) 环境 通过本课程的学习，您将掌握在 Microsoft Azure 上有效管理和优化关系数据库的核心技能，为您的职业发展和认证考试打下坚实基础。
The Microsoft DP-300 course, also known as "Administering Relational Databases on Microsoft Azure," is a certification course that teaches students how to administer and manage relational databases on the Microsoft Azure platform. This course is designed to provide students with the knowledge and skills necessary to manage and maintain databases in Azure, as well as prepare for the DP-300 certification exam.As a candidate for this exam, you should have subject matter expertise in building database solutions that are designed to support multiple workloads built with:SQL Server on-premisesAzure SQL servicesYou're a database administrator who manages on-premises and cloud databases built with SQL Server and Azure SQL services.As the Azure database administrator, you implement and manage the operational aspects of cloud-native and hybrid data platform solutions built on SQL Server and Azure SQL services. You use a variety of methods and tools to perform and automate day-to-day operations, including applying knowledge of using Transact-SQL (T-SQL) and other tools for administrative management purposes.This exam measures your ability to accomplish the following technical tasks: plan and implement data platform resources; implement a secure environment; monitor, configure, and optimize database resources; configure and manage automation of tasks; and plan and configure a high availability and disaster recovery (HA/DR) environment.
