You want a production agent to adapt its behavior based on feedback while running. Which architectural change is best?

hard📝 Application Q8 of 15

Agentic AI - Production Agent Architecture

AFix the model parameters before deployment and never update

BRemove error handling to speed up execution

CAdd a feedback loop that updates internal state after each action

DUse a static rule-based system without learning

Step-by-Step Solution

Solution:

Step 1: Understand adaptive behavior need
Agent must change based on feedback, requiring dynamic updates.
Step 2: Identify architectural feature supporting adaptation
A feedback loop updating internal state enables learning and adjustment during operation.
Final Answer:
Add a feedback loop that updates internal state after each action -> Option C
Quick Check:
Feedback loop enables adaptation = A [OK]

Quick Trick: Feedback loops enable real-time learning [OK]

Common Mistakes:

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