Question

A financial services firm has deployed a Microsoft Foundry Agent that grounds on a fine-tuned custom model. The team follows an ALM process with separate development, test, and production environments. During a recent production incident, the agent's responses degraded after the underlying foundation model was silently updated by the platform, causing regression in the tuned behavior. The architect must redesign the ALM process to prevent uncontrolled model changes from reaching production while still allowing planned upgrades. Which approach best addresses this requirement?

Accepted Answer

Pin the agent to a specific model version in each environment and promote version upgrades through dev and test with regression validation before updating production

Answer

Enable automatic model updates in production so the agent always benefits from the latest platform improvements without manual intervention

Answer

Disable all model updates permanently and freeze the production model to guarantee stable behavior indefinitely

Answer

Deploy the agent directly to production and roll back manually whenever users report degraded responses in the backlog