Câu 8: NCP-AAI: Agentic AI

A recently deployed Agentic AI system designed for automated incident response within a cloud infrastructure has been consistently failing to identify and resolve ‘high-priority’ alerts – specifically, those related to increased CPU utilization across several virtual machines. Initial logs show the agent is primarily focusing on alerts with related network traffic spikes, ignoring the CPU metrics. What is the most appropriate initial step for a senior Agentic AI engineer to take to resolve this issue, considering the system’s reliance on benchmarking and iterative improvement?

1. A. Review the agent’s evaluation framework, focusing on the defined benchmarks used to assess its response efficiency and impact on overall system performance. — đáp án hiện tại
2. B. Replace the agent’s underlying AI model with a more powerful, general-purpose machine learning engine as a first step in investigating current benchmarks.
3. C. Implement a new synthetic data set containing a wide variety of CPU load profiles to train the agent’s decision-making model.
4. D. Review the agent’s sensitivity thresholds, focusing on CPU utilization alerts to maximize detection accuracy.