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Description
- Description:
I'm encountering a deployment failure when deploying a Bicep template. I would greatly appreciate any guidance on how to resolve this issue.
the bicep template is below:
15-private-network-standard-agent-setup
- My Setup:
I manually created the following resources in advance:
VNet: 192.168.0.0/16
Agent Subnet: 192.168.1.0/24
Private Endpoint (PE) Subnet: 192.168.2.0/24
Azure AI Search: Created with PublicNetworkAccess = Disabled
Cosmos DB: Created with PublicNetworkAccess = Disabled
Storage Account: Created with PublicNetworkAccess = Disabled
Region: japaneast
I then provided these resource references in the azuredeploy.json parameters UI.
- Issue:
The deployment fails at the step of creating the AI Services Account (Microsoft.CognitiveServices/accounts). The error message is:
{
"code": "DeploymentFailed",
"target": "/subscriptions/733c0ac8-aaa8-4a85-b5d6-b788a74d82de/resourceGroups/rg-local-aif/providers/Microsoft.Resources/deployments/aiservicesy4z2-y4z2-deployment",
"message": "At least one resource deployment operation failed. Please list deployment operations for details. Please see https://aka.ms/arm-deployment-operations for usage details.",
"details": [
{
"code": "ResourceDeploymentFailure",
"target": "/subscriptions/733c0ac8-aaa8-4a85-b5d6-b788a74d82de/resourceGroups/rg-local-aif/providers/Microsoft.CognitiveServices/accounts/aiservicesy4z2",
"message": "The resource write operation failed to complete successfully, because it reached terminal provisioning state 'Failed'.",
"details": [
{
"code": "OperationError",
"message": "Failed to Create the resource. Provisioning state: Failed",
"details": [
{
"code": "ResourceProviderError",
"message": "Failed to create Aml RP virtual workspace due to System.Exception: Failed async operation {\n \"status\": \"Failed\",\n \"error\": {\n \"code\": \"InternalServerError\",\n \"message\": \"InternalServerError\"\n }\n}\n at Microsoft.CognitiveServices.ResourceProvider.AmlRp.AsyncOperationHelper.PollUntilCompleteAsync[T](TraceContext traceContext, HttpResponseMessage response, HttpClient httpClient, Int32 timeoutInMin, CancellationToken cancellationToken) in /__w/1/s/src/Common/ResourceProvider/AmlRp/AsyncOperationHelper.cs:line 117\n at Microsoft.CognitiveServices.ResourceProvider.AmlRp.AmlRpClient.PutAmlRpVirtualHubAsync(TraceContext traceContext, Dictionary`2 headers, ResourceIdentityInArm resourceIdentity, String primaryUserAssignedIdentity, String internalId, KeyVaultProperties keyVaultProperties, String subscriptionId, String resourceGroupName, String workspaceName, List`1 networkInjections, PublicNetworkAccessType publicNetworkAccessType, CancellationToken cancellationToken) in /__w/1/s/src/Common/ResourceProvider/AmlRp/AmlRpClient.cs:line 119\n at Microsoft.CognitiveServices.ResourceProvider.AmlRp.AmlRpService.PutAmlRpWorkspaceAsync(TraceContext traceContext, ResourceRequestContext requestContext, WorkerMessageRequestContext workerMessageRequestContext, IResourceEntity insertedResourceEntity, CancellationToken cancellationToken) in /__w/1/s/src/Common/ResourceProvider/AmlRp/AmlRpService.cs:line 124\n at Microsoft.CognitiveServices.ResourceProvider.Worker.MessageProcessor.ProcessInternalAsync(TraceContext traceContext, RpWorkerQueueMessage message, CancellationToken cancellationToken) in /__w/1/s/src/ResourceProvider/Rp.WorkerRole/AccountProvisioning/MessageProcessor.cs:line 223"
}
]
}
]
}
]
}
- What I’ve Tried:
Confirmed that all dependent resources (VNet, subnets, private resources) are successfully created.
- Request:
Could you please help identify:
Why this internal server error is occurring during the creation of the AI Services account?
Are there any known issues with private endpoint/Azure ML RP workspace creation in japaneast?
Any workarounds or required configurations I might have missed?