Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You have deployed an agent with Azure AI Studio and tested it by running a Prompt Flow evaluation that scored an average of 0.82 across 200 conversation samples. Before exposing the endpoint to end users, you want Azure AI Studio to keep watching live traffic and automatically email the engineering team if the average generation-quality score ever falls below 0.8. Which feature should you configure to meet this requirement?

  • Add the line min_score: 0.8 to the evaluation YAML so that runs failing this score are rejected.

  • Assign an Azure Policy that denies the endpoint if quality metrics are under 0.8.

  • Enable Generation Quality monitoring for the deployment and set an alert threshold of 0.8.

  • Create a gated deployment policy that blocks requests when the score is below 0.8.

Microsoft Azure AI Engineer Associate AI-102
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