azure.azcollection.azure_rm_ml_data module – Create, Update, Archive, Restore an Azure Machine Learning Data Asset

Note

This module is part of the azure.azcollection collection (version 3.16.0).

You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.

To install it, use: ansible-galaxy collection install azure.azcollection. You need further requirements to be able to use this module, see Requirements for details.

To use it in a playbook, specify: azure.azcollection.azure_rm_ml_data.

New in azure.azcollection 3.16.0

Synopsis

  • Create, Update, Archive, Restore an Azure Machine Learning Data Asset.

Requirements

The below requirements are needed on the host that executes this module.

  • python >= 2.7

  • The host that executes this module must have the azure.azcollection collection installed via galaxy

  • All python packages listed in collection’s requirements.txt must be installed via pip on the host that executes modules from azure.azcollection

  • Full installation instructions may be found https://galaxy.ansible.com/azure/azcollection

Parameters

Parameter

Comments

ad_user

string

Active Directory username. Use when authenticating with an Active Directory user rather than service principal.

adfs_authority_url

string

added in azure.azcollection 0.0.1

Azure AD authority url. Use when authenticating with Username/password, and has your own ADFS authority.

api_profile

string

added in azure.azcollection 0.0.1

Selects an API profile to use when communicating with Azure services. Default value of latest is appropriate for public clouds; future values will allow use with Azure Stack.

Default: "latest"

append_tags

boolean

Use to control if tags field is canonical or just appends to existing tags.

When canonical, any tags not found in the tags parameter will be removed from the object’s metadata.

Choices:

  • false

  • true ← (default)

auth_source

string

added in azure.azcollection 0.0.1

Controls the source of the credentials to use for authentication.

Can also be set via the ANSIBLE_AZURE_AUTH_SOURCE environment variable.

When set to auto (the default) the precedence is module parameters -> env -> credential_file -> cli.

When set to env, the credentials will be read from the environment variables

When set to credential_file, it will read the profile from ~/.azure/credentials.

When set to cli, the credentials will be sources from the Azure CLI profile. subscription_id or the environment variable AZURE_SUBSCRIPTION_ID can be used to identify the subscription ID if more than one is present otherwise the default az cli subscription is used.

When set to msi, the host machine must be an azure resource with an enabled MSI extension. subscription_id or the environment variable AZURE_SUBSCRIPTION_ID can be used to identify the subscription ID if the resource is granted access to more than one subscription, otherwise the first subscription is chosen.

The msi was added in Ansible 2.6.

Choices:

  • "auto" ← (default)

  • "cli"

  • "credential_file"

  • "env"

  • "msi"

cert_validation_mode

string

added in azure.azcollection 0.0.1

Controls the certificate validation behavior for Azure endpoints. By default, all modules will validate the server certificate, but when an HTTPS proxy is in use, or against Azure Stack, it may be necessary to disable this behavior by passing ignore. Can also be set via credential file profile or the AZURE_CERT_VALIDATION environment variable.

Choices:

  • "ignore"

  • "validate"

client_id

string

Azure client ID. Use when authenticating with a Service Principal or Managed Identity (msi).

Can also be set via the AZURE_CLIENT_ID environment variable.

cloud_environment

string

added in azure.azcollection 0.0.1

For cloud environments other than the US public cloud, the environment name (as defined by Azure Python SDK, eg, AzureChinaCloud, AzureUSGovernment), or a metadata discovery endpoint URL (required for Azure Stack). Can also be set via credential file profile or the AZURE_CLOUD_ENVIRONMENT environment variable.

Default: "AzureCloud"

data_type

string

The type of managed identity.

Choices:

  • "mltable"

  • "uri_file"

  • "uri_folder"

datastore

string

The datastore to upload the local artifact to.

description

string

Description of the data target.

disable_instance_discovery

boolean

added in azure.azcollection 2.3.0

Determines whether or not instance discovery is performed when attempting to authenticate. Setting this to true will completely disable both instance discovery and authority validation. This functionality is intended for use in scenarios where the metadata endpoint cannot be reached such as in private clouds or Azure Stack. The process of instance discovery entails retrieving authority metadata from https://login.microsoft.com/ to validate the authority. By setting this to **True**, the validation of the authority is disabled. As a result, it is crucial to ensure that the configured authority host is valid and trustworthy.

Set via credential file profile or the AZURE_DISABLE_INSTANCE_DISCOVERY environment variable.

Choices:

  • false ← (default)

  • true

label

string

Label of the data asset. Must be provided, if version is not provided. Mutually exclusive with version.

location

string

The location to be used for the new data. If not specified, defaults to the location of the workspace.

log_mode

string

Parent argument.

log_path

string

Parent argument.

ml_registry

string

Name of the Azure ML registry.

ml_workspace

string

Name of the Azure ML workspace.

name

string / required

Name of the Azure ML data asset.

password

string

Active Directory user password. Use when authenticating with an Active Directory user rather than service principal.

path

string

Path to the data asset, can be local or remote.

profile

string

Security profile found in ~/.azure/credentials file.

resource_definition

string

Local path to the YAML file containing the Azure ML data specification. The YAML reference docs for data can be found at: https://aka.ms/ml-cli-v2-data-yaml-reference.

resource_group

string

Name of resource group.

secret

string

Azure client secret. Use when authenticating with a Service Principal.

skip_validation

boolean

Skip validation of MLTable metadata when type is MLTable.

Choices:

  • false

  • true

state

string

State of the Data. Use present to create or update. archive to archive and restore to restore.

Choices:

  • "present" ← (default)

  • "archive"

  • "restore"

subscription_id

string

Your Azure subscription Id.

tags

dictionary

Dictionary of string:string pairs to assign as metadata to the object.

Metadata tags on the object will be updated with any provided values.

To remove tags set append_tags option to false.

Currently, Azure DNS zones and Traffic Manager services also don’t allow the use of spaces in the tag.

Azure Front Door doesn’t support the use of

Azure Automation and Azure CDN only support 15 tags on resources.

tenant

string

Azure tenant ID. Use when authenticating with a Service Principal.

thumbprint

string

added in azure.azcollection 1.14.0

The thumbprint of the private key specified in x509_certificate_path.

Use when authenticating with a Service Principal.

Required if x509_certificate_path is defined.

version

string

Data Asset version.

x509_certificate_path

path

added in azure.azcollection 1.14.0

Path to the X509 certificate used to create the service principal in PEM format.

The certificate must be appended to the private key.

Use when authenticating with a Service Principal.

Notes

Note

  • For authentication with Azure you can pass parameters, set environment variables, use a profile stored in ~/.azure/credentials, or log in before you run your tasks or playbook with az login.

  • Authentication is also possible using a service principal or Active Directory user.

  • To authenticate via service principal, pass subscription_id, client_id, secret and tenant or set environment variables AZURE_SUBSCRIPTION_ID, AZURE_CLIENT_ID, AZURE_SECRET and AZURE_TENANT.

  • To authenticate via Active Directory user, pass ad_user and password, or set AZURE_AD_USER and AZURE_PASSWORD in the environment.

  • Alternatively, credentials can be stored in ~/.azure/credentials. This is an ini file containing a [default] section and the following keys: subscription_id, client_id, secret and tenant or subscription_id, ad_user and password. It is also possible to add additional profiles. Specify the profile by passing profile or setting AZURE_PROFILE in the environment.

See Also

See also

Sign in with Azure CLI

How to authenticate using the az login command.

Examples

- name: Create ML Data
  azure.azcollection.azure_rm_ml_data:
    location: eastus
    name: MyData
    description: My Data created by Ansible
    resource_group: myResourceGroup
    ml_workspace: myMLWorkspace
    tags:
      createdByToolkit: Ansible

Return Values

Common return values are documented here, the following are the fields unique to this module:

Key

Description

changed

boolean

Whether the resource is changed.

Returned: always

Sample: false

ml_data_asset

dictionary

Data that was just created or updated.

Returned: always

Sample: {"creation_context": {"created_at": "2026-03-05T20:28:42.120932+00:00", "created_by": "ca413070-9a06-4e0a-8bb8-c167d29fa09e", "created_by_type": "Application", "last_modified_at": "2026-03-05T20:28:57.237566+00:00", "last_modified_by": "ca413070-9a06-4e0a-8bb8-c167d29fa09e", "last_modified_by_type": "Application"}, "description": "Data asset created from local folder.", "id": "/subscriptions/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/resourceGroups/xxxxx-ml-data/providers/Microsoft.MachineLearningServices/workspaces/workspace-xxxxxxx-xxx/data/data-xxxxxxx-xxx/versions/2", "name": "data-xxxxxxx-xxx", "path": "azureml://subscriptions/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/resourcegroups/xxxxx-ml-data/workspaces/workspace-xxxxxxx-xxx/datastores/workspaceblobstore/paths/LocalUpload/xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx/data/", "properties": {}, "tags": {}, "type": "uri_folder", "version": "2"}

Authors

  • Bill Peck (@p3ck)