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```endpoint_variant = OnlineEndpoint(
    f"{environment}-roberta-base-cola-endpoint",
    opts=ResourceOptions(depends_on=[cola_version]),
    online_endpoint_properties={
        "auth_mode": "Key",
        "public_network_access": "disabled",
        "egress_public_network_access": "enabled"
    },
    endpoint_name=f"{environment}-cola-endpoint",
    workspace_name=f"{environment}-machinelearningWorkspace",
    resource_group_name=resource_group.name,
    location="westus2",
    kind="Managed",
    identity=azure_native.machinelearningservices.IdentityArgs(
        type="UserAssigned",
        user_assigned_identities={
            f"/subscriptions/{subscription_id}/resourceGroups/{stack_name}-machinelearning/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{stack_name}-ml-identity": {}
        }
    ),
)

deployment_roberta_base_cola = machinelearningservices.OnlineDeployment(
    "deployment-roberta-base-cola",
    opts=ResourceOptions(protect=False, depends_on=[endpoint_variant]),```

Is it possible to use `v20221201preview` only?

Sharing the error message would be helpful.

No error. Just that the resource creation starts before its dependency is done creating.  I believe they start at the same time.

interesting. It’s worth creating a bug ticket.

okay.  any workarounds? maybe adding a delay?

Well, I guess you could, but how do you make sure the delay interval is enough? Does the OnlineDeployment take any args? You could create an implicit depends by referencing some the OnlineEndpoint as OnlineDeployment args, which forces output resolution.

oh good point. I will check endpoint outputs.

and see if I can plug something into deployment args.