Access Token for Microsoft Azure Machine Learning

Configure an access token to connect to Microsoft Azure Machine Learning.

Figure: Azure Machine Learning Access Token Configuration screen

Background and Setup

Examples

(Example) How to Get the Access Token Credentials from Microsoft Azure Machine Learning

Good to Know

In most cases, you can use a global access token or an application level access token:
- Global access tokens are shared across all users and applications. If you want all process designers and runtime app users in your AgilePoint NX tenant to be able to connect to an external data source, use a global access token. An example is a SharePoint site on an intranet that all employees in a company can access.
- Application level access tokens are shared with all processes in a process-based app, or restricted to use within a form-based app. Use application level access tokens if only process designers or runtime app users for a particular application should access an external system — for example, a Google Drive account that is only used to share files within a small team.
Access tokens are collections of credentials that are used to authenticate communication directly between AgilePoint NX and an external system. Because it is the AgilePoint NX system that uses these credentials, rather than an app, there is no difference between design time and runtime access tokens. Access tokens are never checked in or published, and they do not use version control. If you change an access token in the App Builder or Manage Center, the access token changes immediately everywhere the access token is used. Changes to application level access tokens apply to all versions of an application, including running application instances. Changes to global access tokens apply everywhere they are used in AgilePoint NX. You can not roll back an access token to a previous version.
For more information, refer to What Data Is Deleted When I Delete an App or Application Resource?
If you need help configuring this access token, contact AgilePoint Professional Services.
Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation, and it is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business uses cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, and other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

How to Start

There are several ways to create an access token for Microsoft Azure Machine Learning. How to create the access token depends on where you want to use it.

Global (Manage Center)

You can use a global access token in any application in your AgilePoint NX tenant. Use a global access token if you want any user in your environment to be able to connect to the same external system.

Click Manage .
Click App Builder > Global Access Tokens.
On the Global Access Tokens screen, click Add Token .
On the Add Global Access Tokens screen, select Microsoft Azure Machine Learning .
Click Next.

Application Level (App Builder)

Create an access token to use in any process activity or form control in an application.

Click Build Apps .
In the Application Explorer, on the My Applications pane, click [Application Name] > Shared Resources > Access Tokens.
Click New .
On the New App Token screen, select Microsoft Azure Machine Learning .
Click Next.

Process Activities and Form Controls

Different access token types can be created in context and used in different process activities, form controls, or applications. The App Builder shows shortcut buttons in any place you can create an access token.

You can create an application level access token for Microsoft Azure Machine Learning here:

Process Builder
- Azure Machine Learning activity

Fields

Field Name	Definition
Token Name	Function: Specifies the unique name for your connection to Microsoft Azure Machine Learning. Accepted Values: A text string that can have letters, numbers, and spaces. Default Value: None
Web Service URL	Function: Specifies the URL of your Microsoft Azure Machine Learning environment. Accepted Values: A valid Microsoft Azure Machine Learning service URL. Default Value: None Example: Refer to: (Example) How to Get the Access Token Credentials from Microsoft Azure Machine Learning
API Key	Function: Specifies the API key to call the Microsoft Azure Machine Learning service. Accepted Values: A valid Azure Machine Learning API key. Default Value: None Example: Refer to: (Example) How to Get the Access Token Credentials from Microsoft Azure Machine Learning
Schema URL	Function: Specifies the URL of the schema for your Microsoft Azure Machine Learning service. Accepted Values: A valid Microsoft Azure Machine Learning schema URL. Default Value: None Example: Refer to: (Example) How to Get the Access Token Credentials from Microsoft Azure Machine Learning
Description	Function: A description for your access token. Accepted Values: More than one line of text. Default Value: None Example: Refer to: (Example) Use Anonymous Authentication in a Form-Based App (Example) Use Anonymous Authentication in a Process-Based App
Test Connection	Function: Makes sure the specified Microsoft Azure Machine Learning account is correct.
Encrypt	Function: Stores the access token in the AgilePoint database as encrypted data. Note: AgilePoint recommends you to store this access token in the database in encrypted format. Accepted Values: Deselected - The access token is in plain text in the database. Selected - The access token is encrypted in the database. Default Value: Selected Limitations: This field was removed from the UI in AgilePoint NX OnPremises and PrivateCloud v7.0 Software Update 2. Access token credentials are encrypted by default. If you want to store credentials in unencrypted format, contact AgilePoint Customer Support.