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A company has a Microsoft Foundry agent that summarizes customer feedback and recommends products to customers. The agent references data from multiple knowledge sources. Users report that the agent response time is slow. Telemetry data shows that the agent frequently reaches its token usage limit You need to recommend a solution to reduce token usage without degrading the quality of the generated responses. What should you recommend?
You are evaluating a Microsoft Copilot Studio agent that supports Microsoft Dynamics 365 Customer Service representatives. You need to recommend a testing solution that meets the following requirements: Evaluates agent effectiveness during active sessions Validates whether the agent delivers accurate and helpful responses Provides measurable, actionable insights for continuous improvement What should you recommend?
A company uses a fine-tuned Microsoft Foundry model that requires frequent updates as new customer feedback becomes available. You need to design an application lifecycle management (ALM) process that meets the following requirements: Data changes must be tracked and versioned. The model must be retrained consistently by using approved training data. Which two actions should you include in the design? NOTE: Each correct selection is worth one point.
You are evaluating a Microsoft Copilot Studio agent that supports Microsoft Dynamics 365 Customer Service representatives. You need to recommend a testing solution that meets the following requirements: Evaluates agent effectiveness during active sessions Validates whether the agent delivers accurate and helpful responses Provides measurable, actionable insights for continuous improvement What should you recommend?
A company has a Microsoft Foundry agent that summarizes customer feedback and recommends products to customers. The agent references data from multiple knowledge sources. Users report that the agent response time is slow. Telemetry data shows that the agent frequently reaches its token usage limit You need to recommend a solution to reduce token usage without degrading the quality of the generated responses. What should you recommend?
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