Modules in this learning path 700 XP Choose the right Azure service for deploying your Java application 25 min Module 6 Units Explore the service options for deploying Java applications to Azure, and choose the one that best addresses your team's needs. ...
开始使用 Azure 返回“客户案例”部分 获取Azure 移动应用 合作伙伴 Azure 市场 寻找合作伙伴 加入ISV 成功计划 资源 培训与认证 文件 部落格 开发人员资源 学生 活动与网络研讨会 分析师报告、白皮书和电子书 视频 云计算 什么是云计算? 什么是多云? 什么是机器学习?
March 31 to April 2, 2025. Register today Training Learning path Connect your services together learning path - Training Use Azure to create website front-ends, back-end services, and triggered functions that compute-on-demand and can also communicate with each other. ...
Getting Started: Creating a Service Bus Namespace In this task, you will set up Service Bus namespace in preparation for the rest of the tasks. Task 1-Creating the Initial Solution In this task you will create the initial solution required for the rest of the tasks Task 2-Configure one e...
您可以在 Azure Machine Learning 配額頁面中找到 Azure Machine Learning 計算配額的最新值Azure 地圖服務限制注意 Azure 地圖服務 Gen1 定價層淘汰 Gen1 定價層現已被取代,且將於 9/15/26 淘汰。 Gen2 定價層會取代 Gen1 (S0 和 S1) 定價層。 如果您的 Azure 地圖服務帳戶已選取 Gen1 定價層,您可以在淘汰...
Service Bus Service Connector Service Fabric Service Map SignalR Service Split Experimentation SQL Database SQL VM Standby Pools Storage Actions Storage Mover Storage Resource Provider Storage Services Storagecache Stream Analytics Subscription Support Synapse Time Series Insights Terraform Traffic Manager Virtua...
batchUrl path True string The base URL for all Azure Batch service requests. api-version query True string Client API Version. timeout query integer int32 The maximum time that the server can spend processing the request, in seconds. The default is 30 seconds. If the value is larg...
Azure Container Apps General Availability Azure Container Apps delivers seamless support for cloud-native apps with serverless containers...
The Azure Machine Learning service provides a cloud-based service you can use to develop, train, test, deploy, manage, and track machine learning models. With Automated Machine Learning and other advancements available, training and deploying machine learning models is easier and more approachable tha...
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