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Câu 26: NCP-AAI: Agentic AI

When evaluating optimization opportunities between NeMo Guardrails, NIM microservices, and TensorRT-LLM in a production healthcare agent, which analysis approach best identifies optimization opportunities across the NVIDIA stack?

Nội dung câu hỏi

When evaluating optimization opportunities between NeMo Guardrails, NIM microservices, and TensorRT-LLM in a production healthcare agent, which analysis approach best identifies optimization opportunities across the NVIDIA stack?

Các lựa chọn

Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. Conduct stress testing of individual microservices and guardrails to measure peak throughput and determine theoretical performance limits of each module.
  2. B. Use default configurations to establish a deployment baseline, focusing on stability before conducting deeper performance profiling.
  3. C. Create end-to-end latency waterfalls that capture guardrail overhead, NIM queuing delays, and TensorRT optimization benefits while assessing overall pipeline efficiency. — đáp án hiện tại
  4. D. Tune each component individually, focusing primarily on local performance metrics with secondary attention to integration patterns.

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