The Cognitive Services OpenAI User role grants least-privilege read/use permissions: view resource endpoints, list available models, use existing deployments in Azure OpenAI Studio (e.g., generate text and images ). It cannot create or manage deployments (that would require Cognitive Services OpenAI Contributor ), satisfying least-privilege.

References

Azure OpenAI built-in roles: OpenAI User vs OpenAI Contributor .

Azure RBAC for Azure AI services.

The chatbot needs to recognize two different kinds of information:

Code names for internal product development

These are not standard entities like " locations " or " organizations " that prebuilt NER can detect.

You need to train a custom model to recognize internal terms or codenames (for example, " Project Falcon " ).

The correct Azure Cognitive Service for Language feature is Custom Named Entity Recognition (Custom NER), which allows defining and training entity categories specific to your business.

Messages that include credit card numbers

Credit card numbers are sensitive data falling under Personally Identifiable Information (PII).

Azure Cognitive Service for Language provides a PII detection feature that automatically identifies and masks sensitive information such as credit card numbers, SSNs, and phone numbers.

This minimizes development effort since it is prebuilt and ready to use.

Correct Answer Mapping:

Identify code names for internal product development → Custom named entity recognition (NER)

Identify messages that include credit card numbers → Personally Identifiable Information (PII) detection

Microsoft References

Custom Named Entity Recognition in Azure AI Language

PII detection in Azure AI Language

Named Entity Recognition (NER) is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The NER feature can identify and categorize entities in unstructured text. For example: people, places, organizations, and quantities.