As i am using azure data factory trail version i can't create a data factory it shows like this

NAVEEN PRANOUV S S 0 Reputation points
2025-12-19T08:07:48.2433333+00:00

{

"code": "DeploymentFailed",

"target": "/subscriptions/9e05b244-7725-42eb-926f-c44a08abe235/resourceGroups/rg-library-project/providers/Microsoft.Resources/deployments/Microsoft.DataFactory-20251219130250",

"message": "At least one resource deployment operation failed. Please list deployment operations for details. Please see https://aka.ms/arm-deployment-operations for usage details.",

"details": [

{

  "code": "FailedIdentityOperation",

  "message": "Identity operation for resource '/subscriptions/9e05b244-7725-42eb-926f-c44a08abe235/resourceGroups/rg-library-project/providers/Microsoft.DataFactory/factories/library' failed with error 'Failed to perform resource identity operation. Status: 'BadRequest'. Response: '{\"error\":{\"code\":\"BadRequest\",\"message\":\"The directory object quota limit for the Tenant has been exceeded. Please ask your administrator to increase the quota limit or delete objects to reduce the used quota.\"}}'.'."

}
```  ]

}
Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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  1. Q&A Assist
    2025-12-19T08:07:57.6366667+00:00
    AI generated content. This question contains an answer created with AI from Q&A Assist. Learn more

    The error message you're encountering indicates that the identity operation for your Azure Data Factory resource failed due to exceeding the directory object quota limit for your tenant. This means that your Azure Active Directory (AAD) has reached its limit for the number of directory objects (like users, groups, or service principals) that can be created.

    To resolve this issue, you have a couple of options:

    1. Contact your administrator: Ask your Azure AD administrator to increase the quota limit for your tenant.
    2. Reduce the quota usage: If possible, delete some unused or unnecessary directory objects to free up space within the quota limit.

    Once the quota issue is resolved, you should be able to create your Azure Data Factory without encountering this error.

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