Microsoft Azure AI Engineer Associate AI-102 Practice Question
You deploy a GPT-35-Turbo model using Azure OpenAI. To reduce brand-specific risks, the compliance team requires that any prompt or completion containing the name of your company's unreleased product be blocked automatically.
You must implement the requirement without writing additional code in the client application and without disabling the built-in content filters for hate, sexual, self-harm, or violence.
Which action should you take?
Lower the content filter severity thresholds for all four harmful categories to the lowest level.
Upload a custom blocklist that contains the unreleased product name and associate the list with the model deployment.
Enable log redaction in the Azure portal for the deployment.
Switch the deployment's moderation preset from standard to stricter.
Azure OpenAI provides deployment-level content filters for four predefined harmful categories and, in addition, lets you upload one or more custom blocklists that the service evaluates during both prompt and completion processing. Adding the unreleased product name to a custom blocklist enforces an automatic block whenever the string is detected, and it works alongside-rather than replaces-the standard hate, sexual, self-harm, and violence filters. Changing the moderation preset, lowering score thresholds, or enabling log redaction do not create a term-based block and either reduce protection or only affect telemetry.
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Microsoft Azure AI Engineer Associate AI-102
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