Câu 11: NCP-AAI: Agentic AI
When analyzing performance bottlenecks in a multi-modal agent processing customer support tickets with text, images, and voice inputs, which evaluation approach most effectively identifies optimization opportunities?
Nội dung câu hỏi
When analyzing performance bottlenecks in a multi-modal agent processing customer support tickets with text, images, and voice inputs, which evaluation approach most effectively identifies optimization opportunities?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Measure total response time as this analyzes aggregated performance trends across modalities, model loading times, and opportunities for parallel execution.
- B. Profile end-to-end latency across modalities, measure model switching overhead, analyze batch processing opportunities, and evaluate Triton’s dynamic batching for multi-modal workloads. — đáp án hiện tại
- C. Optimize each modality independently using dedicated profiling of cross-modal interactions, shared resource constraints, and pipeline execution strategies.
- D. Extend evaluation to accuracy and quality metrics, incorporating resource usage patterns, latency observations, and their impact on user experience.
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