Question 10
(Topic 1)
A generative AI engineer is deploying an AI agent authored with MLflow's ChatAgent interface for a retail company's customer support system on Databricks. The agent must handle thousands of inquiries daily, and the engineer needs to track its performance and quality in real-time to ensure it meets service-level agreements. Which metrics are automatically captured by default and made available for monitoring when the agent is deployed using the Mosaic AI Agent Framework?
Select an option, then click Submit answer.
- ○ Operational metrics like request volume, latency, and errors
- ○ Quality metrics like correctness and guideline adherence
- ○ Both operational and quality metrics
- ○ No metrics are automatically captured
