Câu 40: NCP-AAI: Agentic AI
An AI Engineer is analyzing a production agentic AI system’s compliance with responsible AI standards. Which evaluation approaches effectively identify potential safety vulnerabilities and ethical risks in multi-agent workflows? (Choose two.)
Nội dung câu hỏi
An AI Engineer is analyzing a production agentic AI system’s compliance with responsible AI standards. Which evaluation approaches effectively identify potential safety vulnerabilities and ethical risks in multi-agent workflows? (Choose two.)
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Emphasize latency metrics and throughput performance as key evaluation factors for safety vulnerabilities, providing a baseline for operational measures and resource allocation.
- B. Implement comprehensive audit trails using NVIDIA NeMo Guardrails with semantic similarity checks, tracking agent decisions across conversation flows and evaluating policy violations through automated compliance scoring. — đáp án hiện tại
- C. Use user feedback as a primary signal for risk identification, emphasizing post-deployment observations and qualitative experience reports alongside operational monitoring.
- D. Deploy multi-layered evaluation combining bias detection metrics (demographic parity, equalized odds) with adversarial testing to probe agent responses for harmful outputs across diverse user populations — đáp án hiện tại
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