考虑到Azure ML API以及如何使用它管理模型，我遇到了以下问题。

以下是有效的顺序：

1.获取令牌（确定）-〉POST https://login.microsoftonline.com/{{TenantId}}/oauth2/token
1.列出工作区（OK）-〉获取https://management.azure.com/subscriptions/{{SubscriptionId}}/providers/Microsoft.MachineLearningServices/workspaces?api-version=2018-03-01-preview我有几个工作区，一些在美国东部创建，一些在德国中西部地区创建
1.在之前API调用返回的json中，为每个工作区返回了一个名为discoveryUrl的属性，该属性为"https：//germanywestcentral.api.azureml.ms/discovery"或"https：//eastus.api.azureml.ms/discovery"
1.调用GET https://germanywestcentral.api.azureml.ms/discovery返回

{
    "api": "https://germanywestcentral.api.azureml.ms",
    "catalog": "https://catalog.cortanaanalytics.com",
    "experimentation": "https://germanywestcentral.api.azureml.ms",
    "gallery": "https://gallery.cortanaintelligence.com/project",
    "history": "https://germanywestcentral.api.azureml.ms",
    "hyperdrive": "https://germanywestcentral.api.azureml.ms",
    "labeling": "https://germanywestcentral.api.azureml.ms",
    "modelmanagement": "https://germanywestcentral.api.azureml.ms",
    "pipelines": "https://germanywestcentral.aether.ms",
    "studio": "https://ml.azure.com"
}

1.调用GET https://eastus.api.azureml.ms/discovery返回

{
    "api": "https://eastus.api.azureml.ms",
    "catalog": "https://catalog.cortanaanalytics.com",
    "experimentation": "https://eastus.experiments.azureml.net",
    "gallery": "https://gallery.cortanaintelligence.com/project",
    "history": "https://eastus.experiments.azureml.net",
    "hyperdrive": "https://eastus.experiments.azureml.net",
    "labeling": "https://eastus.experiments.azureml.net",
    "modelmanagement": "https://eastus.modelmanagement.azureml.net",
    "pipelines": "https://eastus.aether.ms",
    "studio": "https://ml.azure.com"
}

1. modelmanagement url在两个区域中的结构不同

• "模型管理"："示例网站"https://germanywestcentral.api.azureml.ms"
• 与"模型管理"：例如"www.example.com"，https://eastus.modelmanagement.azureml.net",

(well很好，这应该不是问题）
1.现在调用GEThttps://eastus.modelmanagement.azureml.net/api/subscriptions/{{SubscriptionId}}/resourceGroups/{{resourceGroupName}}/providers/Microsoft.MachineLearningServices/workspaces/{{workspaceName}}/services?api-version=2018-03-01-preview&count=100确实返回描述工作区下可用服务的数据

但问题是调用：

GET https://germanywestcentral.api.azureml.ms/api/subscriptions/{{SubscriptionId}}/resourceGroups/{{resourceGroupName}}/providers/Microsoft.MachineLearningServices/workspaces/{{workspaceName}}/services?api-version=2018-03-01-preview&count=100返回一个530错误，在响应正文中包含"unknown to the cluster
有什么想法或提示，为什么这样做，以及如何绕过这个问题？