Q
A company has a customer service agent built in Microsoft Foundry that calls an Azure OpenAI model and a knowledge API. Telemetry and online evaluation scores are sent to Azure Monitor Application Insights.
Users report intermittent off-topic responses, even though latency and token usage remain normal.
You confirm that the issue occurs only when the knowledge API is used.
You need to detect quality regressions in production within five minutes of occurrence and automatically notify the on-call team.
What should you configure?
Question Info
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Explanation
Objective:
3.1 Analyze, monitor, and tune AI-powered business solutions
What This Item Tests:
Interpret telemetry data for performance and model tuning
Additional Reading:
Explore how to monitor with Azure
Monitor and analyze AI Agent usage and performance
Building and operationalizing copilot applications
Rationale:
A log-based alert in Application Insights can correlate low evaluation scores specifically with calls to the knowledge API and triggers an action group within minutes, enabling rapid detection of targeted quality regressions. Metric alerts based on overall averages, dependency alerts based only on HTTP status codes, and workbooks for visualization do not provide precise, automated detection and notification in this scenario.
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