Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are planning an Azure OpenAI-based virtual assistant. Corporate policy states that the assistant must never produce violent or sexual content, even if a user explicitly requests it, but it should continue to answer ordinary troubleshooting questions. According to Azure Responsible AI guidance, which design decision best meets this requirement?
Run Text Analytics for Profanity on every user prompt before sending it to the model.
Expose the model only through a private endpoint so that external users cannot call it directly.
Route all traffic through Azure Front Door with a custom WAF rule that searches for banned keywords related to violence or sexuality.
Enable the Azure OpenAI content safety policy and set the Violence and Sexual categories to the block severity threshold for the deployment endpoint.
Azure OpenAI provides a built-in content safety system that can be configured per deployment. By enabling the content filtering policy and setting the Violence and Sexual categories to the block severity threshold, the runtime will automatically refuse or safe-complete requests that include disallowed content while still allowing benign requests. Web application firewalls and generic text analytics profanity filters do not inspect model generations deeply enough for Responsible AI compliance, and a private endpoint only secures network access-it does not moderate content.
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Microsoft Azure AI Engineer Associate AI-102
Plan and manage an Azure AI solution
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