GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #66
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
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Question
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?
Options
- AOperational metrics like request volume, latency, and errors
- BQuality metrics like correctness and guideline adherence
- CBoth operational and quality metrics
- DNo metrics are automatically captured
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