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An AI agent collects logs and metrics to improve. Which approach best uses observability to fix a sudden drop in performance?

hard📝 Application Q15 of 15
Agentic AI - Agent Observability
An AI agent collects logs and metrics to improve. Which approach best uses observability to fix a sudden drop in performance?
AIgnore logs and retrain the agent blindly.
BReview logs and metrics to find errors, then adjust agent behavior.
CDelete all logs to save space and restart the agent.
DOnly collect metrics without logs to reduce complexity.
Step-by-Step Solution
Solution:
  1. Step 1: Understand observability's role in troubleshooting

    Observability means using logs and metrics to see what went wrong.
  2. Step 2: Choose the approach that uses data to fix issues

    Reviewing logs and metrics helps find the cause and improve the agent.
  3. Final Answer:

    Review logs and metrics to find errors, then adjust agent behavior. -> Option B
  4. Quick Check:

    Use data to fix problems, not ignore or delete [OK]
Quick Trick: Use logs and metrics to find and fix issues [OK]
Common Mistakes:
  • Ignoring logs and retraining blindly
  • Deleting logs losing valuable info
  • Collecting only metrics misses details

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