无法部署Azure ML工作室预测Web服务 [英] Cannot deploy Azure ML studio predictive web service
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问题描述
我曾经部署过这个,所以我知道我有足够的权利。但我现在收到以下错误。
错误消息:AADSTS50076:由于管理员进行了配置更改,或者您搬到了新位置,您必须使用多因素身份验证才能访问'797f4846-ba00-4fd7-ba43-dac1f8f63013'。
跟踪ID:c7ff9672-2907-4b1d-bf5f-f9df03d20000
相关ID:43026d47-68a8-4e4c-8d1b-99e62f94fd50
时间戳:2019-03-27 19:44:37Z
站点路径:/ webservices / deployExperiment
活动ID:dbe7d222-99a9-4a6b-98c0-4577aabb0cfa
申请ID:80b8fdc3-066b-486d-9a78-4e20f9f4e4a6
工作区ID:af057eec1e664e848e69a4f54f10337e
订阅ID:d32c34c5-c344-42d7-a6d9-a5339dac670d
工作区类型:PaidStandard
用户角色:所有者
租户ID:72f988bf-86f1-41af-91ab-2d7cd011db47
解决方案
嗨Ameet,
我发现了一个较旧的
issue 有类似的错误,你能否检查这些步骤是否有帮助?
建议您按照以下步骤操作:
1.作为租户管理员登录https://portal.azure.com
2.在应用注册中打开您的应用注册
3.转到设置,然后是必需的权限
4.按下授予权限按钮
注意:如果您不是租户管理员,则无法给予管理员同意
您可以尝试类似的解决方案 GitHub
issue 。
如果上述步骤无效,我建议从门户网站打开支持服务单,因为需要在订阅级别检查
,以了解配置中的任何问题。
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跨度>
I used to deploy this, so I know I have sufficient rights. But I am getting following error now.
Error Message: AADSTS50076: Due to a configuration change made by your administrator, or because you moved to a new location, you must use multi-factor authentication to access '797f4846-ba00-4fd7-ba43-dac1f8f63013'.
Trace ID: c7ff9672-2907-4b1d-bf5f-f9df03d20000
Correlation ID: 43026d47-68a8-4e4c-8d1b-99e62f94fd50
Timestamp: 2019-03-27 19:44:37Z
Site Path: /webservices/deployExperiment
Activity ID: dbe7d222-99a9-4a6b-98c0-4577aabb0cfa
Request ID: 80b8fdc3-066b-486d-9a78-4e20f9f4e4a6
Workspace ID: af057eec1e664e848e69a4f54f10337e
Subscription ID: d32c34c5-c344-42d7-a6d9-a5339dac670d
Workspace Type: PaidStandard
User Role: Owner
Tenant ID: 72f988bf-86f1-41af-91ab-2d7cd011db47解决方案Hi Ameet,
I found an older issue with similar error, Could you please check if these steps help?
Suggest you to follow the below steps:
1.Login as a tenant admin to https://portal.azure.com
2.Open the registration for your app in the app registrations
3.Go to Settings then Required Permissions
4.Press the Grant Permissions button
Note: If you are not a tenant admin, you cannot give admin consent
You may try the solutions provided in similar GitHub issue.
If the above steps do not help I would suggest to open a support ticket from the portal as this needs to be checked at subscription level for any issues in the configuration.
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