AI-900 Generative AI workloads on Azure

What is the purpose of abuse monitoring in Azure OpenAI Service?

Show answer and explanation

Answer: B

Abuse monitoring looks for behaviour that indicates the service is being used to break policy, for example repeated attempts to talk the model past its instructions or sustained generation of harmful material. Signals are reviewed so that access can be restricted where necessary. Related controls include content filters that act per request and the option to apply for limited access with additional review, and customers can apply for exemption from human review for certain workloads.

Why the other options are wrong

  • A. Cost reporting is delivered by billing and cost management features, not by abuse monitoring.
  • C. Host health is the concern of platform telemetry and Azure Monitor rather than of misuse detection.
  • D. Seat or licence assignment belongs to identity and licence administration, and Azure OpenAI access is controlled through role assignments.

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Reviewed November 2026. Spotted a problem with this question? Report it from the practice tool.