Merge pull request #209117 from timwarner-msft/timwarner-rmaml

Remove invalid AML policy defs

Author: BCS2022

includes/policy/reference/bycat/policies-machine-learning.md

@@ -2,19 +2,13 @@
 author: timwarner-msft
 ms.service: azure-policy
 ms.topic: include
-ms.date: 08/16/2022
+ms.date: 08/25/2022
 ms.author: timwarner
 ms.custom: generated
 ---
 
 |Name<br /><sub>(Azure portal)</sub> |Description |Effect(s) |Version<br /><sub>(GitHub)</sub> |
 |---|---|---|---|
-|[\[Preview\]: \[Preview\]: Configure allowed module authors for specified Azure Machine Learning computes](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F53c70b02-63dd-11ea-bc55-0242ac130003) |Provide allowed module authors in specified Azure Machine Learning computes and can be assigned at the workspace. For more information, visit [https://aka.ms/amlpolicydoc](../../../../articles/machine-learning/policy-reference.md). |enforceSetting, disabled |[6.1.0-preview](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AllowedModuleAuthors_EnforceSetting.json) |
-|[\[Preview\]: \[Preview\]: Configure allowed Python packages for specified Azure Machine Learning computes](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F77eeea86-7e81-4a7d-9067-de844d096752) |Provide allowed Python packages in specified Azure Machine Learning computes and can be assigned at the workspace. For more information, visit [https://aka.ms/amlpolicydoc](../../../../articles/machine-learning/policy-reference.md). |enforceSetting, disabled |[5.1.0-preview](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AllowedPythonPackageChannels_EnforceSetting.json) |
-|[\[Preview\]: \[Preview\]: Configure allowed registries for specified Azure Machine Learning computes](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F5853517a-63de-11ea-bc55-0242ac130003) |Provide registries that are allowed in specified Azure Machine Learning computes and can be assigned at the workspace. For more information, visit [https://aka.ms/amlpolicydoc](../../../../articles/machine-learning/policy-reference.md). |enforceSetting, disabled |[6.0.0-preview](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AllowedACRs_EnforceSetting.json) |
-|[\[Preview\]: \[Preview\]: Configure an approval endpoint called prior to jobs running for specified Azure Machine Learning computes](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F3948394e-63de-11ea-bc55-0242ac130003) |Configure an approval endpoint called prior to jobs running for specified Azure Machine Learning computes and can be assigned at the workspace. For more information. For more information, visit [https://aka.ms/amlpolicydoc](../../../../articles/machine-learning/policy-reference.md). |enforceSetting, disabled |[5.1.0-preview](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/ApprovalEndpoint_EnforceSetting.json) |
-|[\[Preview\]: \[Preview\]: Configure code signing for training code for specified Azure Machine Learning computes](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F6a6f7384-63de-11ea-bc55-0242ac130003) |Provide code signing for training code in specified Azure Machine Learning computes and can be assigned at the workspace. For more information, visit [https://aka.ms/amlpolicydoc](../../../../articles/machine-learning/policy-reference.md). |enforceSetting, disabled |[6.1.0-preview](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AllowedSigningKey_EnforceSetting.json) |
-|[\[Preview\]: \[Preview\]: Configure log filter expressions and datastore to be used for full logs for specified Azure Machine Learning computes](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F1d413020-63de-11ea-bc55-0242ac130003) |Provide log filter expression and datastore to be used for full logs in specified Azure Machine Learning computes and can be assigned at the workspace. For more information, visit [https://aka.ms/amlpolicydoc](../../../../articles/machine-learning/policy-reference.md). |enforceSetting, disabled |[5.1.0-preview](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AllowedLogFilter_EnforceSetting.json) |
 |[Audit Azure Machine Learning Compute Cluster and Instance is behind virtual network](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F7804b5c7-01dc-4723-969b-ae300cc07ff1) |Azure Virtual Network deployment provides enhanced security and isolation for your Azure Machine Learning Compute Clusters and Instances, as well as subnets, access control policies, and other features to further restrict access.When am Azure Machine Learning Compute instance is configured with a virtual network, it is not publicly addressable and can only be accessed from virtual machines and applications within the virtual network. |Audit, Disabled |[1.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/MachineLearningServices_Vnet_Audit.json) |
 |[Azure Machine Learning workspaces should be encrypted with a customer-managed key](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fba769a63-b8cc-4b2d-abf6-ac33c7204be8) |Manage encryption at rest of Azure Machine Learning workspace data with customer-managed keys. By default, customer data is encrypted with service-managed keys, but customer-managed keys are commonly required to meet regulatory compliance standards. Customer-managed keys enable the data to be encrypted with an Azure Key Vault key created and owned by you. You have full control and responsibility for the key lifecycle, including rotation and management. Learn more at [https://aka.ms/azureml-workspaces-cmk](/azure/machine-learning/how-to-create-workspace-template#deploy-an-encrypted-workspace"). |Audit, Deny, Disabled |[1.0.3](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_CMKEnabled_Audit.json) |
 |[Azure Machine Learning workspaces should disable public network access](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F438c38d2-3772-465a-a9cc-7a6666a275ce) |Disabling public network access improves security by ensuring that the machine learning workspaces aren't exposed on the public internet. You can limit exposure of your workspaces by creating private endpoints instead. Learn more at: [https://aka.ms/privateendpoints](../../../../articles/event-grid/configure-private-endpoints.md). |Audit, Deny, Disabled |[2.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PublicNetworkAccessDisabled_Audit.json) |