Question

You operate a customer-support classification model deployed through Azure AI Foundry. Over the past two months, support agents report that the model increasingly misroutes tickets, even though it performed well at launch and the model itself has not been retrained or changed. You suspect the nature of incoming ticket text has shifted due to a new product line. Which monitoring capability should you configure to confirm and quantify this problem?

Accepted Answer

Enable data drift monitoring to compare the statistical distribution of live production inputs against the baseline training/reference dataset

Answer

Configure a content safety filter with a lower severity threshold to catch problematic ticket text

Answer

Increase the provisioned throughput units (PTUs) to reduce latency during peak ticket volume

Answer

Enable trace logging to capture the full provenance of each agent tool invocation