Machine Learning Connection Profiles

The following topics describe the connection profile parameters for Machine Learning platforms and services:

AWS SageMaker Connection Profile Parameters

The following table describes the AWS SageMaker connection profile parameters.

Parameter

Description

SageMaker URL

Determines the authentication endpoint for AWS SageMaker, based on the following format:
https://sagemaker.<region name>.amazonaws.com

https://sagemaker.us-east-1.amazonaws.com

AWS Region

Determines the region where the AWS SageMaker jobs are located.

us-east-1

Authentication

Determines one of the following authentication methods:

  • AWS Key & Secret: Used for services outside the AWS infrastructure.

  • AWS IAM Role: Used for services within the AWS infrastructure.

AWS Access Key

Defines the AWS SageMaker account access key.

AWS Secret

Defines the AWS SageMaker account secret access key.

IAM Role

Defines the Identity and Access Management (IAM) role for the AWS SageMaker connection.

Connection Timeout

Determines the number of seconds to wait after Control-M initiates a connection request to AWS SageMaker before a timeout occurs.

Default: 30

Azure Machine Learning Connection Profile Parameters

The following table describes the Azure Machine Learning connection profile parameters.

Parameter

Description

Azure Login URL

(Service Principal) Defines the Azure Active Directory (AD) authentication endpoint base URL.

Default: https://login.microsoftonline.com

Azure Management URL

Defines the Azure Management URL, which is used to get the token for a service principal authentication and to perform API calls.

Default: https://management.azure.com/Azure

Azure ML URL

Defines the authentication endpoint base URL for Azure Machine Learning, which is used to perform API calls, and which is based on the following format:

https://<Location_Name>.api.azureml.ms/

https://eastus.api.azureml.ms/

Location Name

Determines the region where the Azure Machine Learning jobs are located.

eastus

Subscription ID

Determines the Azure account subscription ID, which can be retrieved from the Azure portal.

Authentication Method

Determines one of the following identity types to connect to Azure Machine Learning:

  • Managed Identity: Enables you to access other Azure AD-protected resources. The identity is managed by the Azure platform and does not require you to provide credentials within Control-M. Use this option if the Agent is installed on an Azure virtual machine that has an assigned Managed Identity with the required permissions.

  • Service Principal: An Azure service principal, also known as App Registration, is an identity created for use with applications, hosted services, and automated tools to access Azure resources. This access is restricted by the roles assigned to the service principal, which gives the Azure Administrator control over which resources can be accessed and at which level. Use this option if the Agent is installed on-premises or on an Azure virtual machine.

Specify Managed Identity Client ID

(Managed Identity) Determines whether the client ID for your managed identity is specified by the Managed Identity Client ID parameter.

Use this option if you are using the Managed Identity authentication method and you have multiple managed identities defined on your Azure virtual machine.

Managed Identity Client ID

(Managed Identity) Determines which client ID to use as the managed identity.

This parameter requires a value only if you have multiple managed identities defined on your Azure virtual machine and you selected the Specify Managed Identity Client ID checkbox.

If you have only one managed identity, it is detected automatically.

Tenant ID

(Service Principal) Defines the ID where the Azure Machine Learning is created.

Application ID

(Service Principal) Defines the Azure identity of a Service Principal that is granted access to interact with Azure Machine Learning.

Client Secret

(Service Principal) Defines the password of the Service Principal.

Connection Timeout

Determines the number of seconds to wait after Control-M initiates a connection request to Azure Machine Learning before a timeout occurs.

Default: 50