Exam NCA-AIIO Topic 1 Question 31 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 31
Topic #: 1

In a complex AI-driven autonomous vehicle system, the computing infrastructure is composed of multiple GPUs, CPUs, and DPUs. During real-time object detection, which of the following best explains how these components interact to optimize performance?

A. The GPU processes object detection algorithms, the CPU handles decision-making logic, and the DPU offloads network and storage tasks. B. The CPU processes the object detection model, while the GPU and DPU handle data preprocessing and network traffic. C. The GPU processes the object detection model, the DPU offloads network traffic from the GPU, and the CPU is unused. D. The GPU handles object detection algorithms, while the CPU manages the vehicle's control systems without DPU involvement.

Suggested Answer: A Vote an answer

In NVIDIA's autonomous vehicle platforms (e.g., DRIVE AGX), GPUs, CPUs, and DPUs (Data Processing Units like BlueField) work synergistically. GPUs excel at parallel processing for object detection algorithms (e.g., CNNs), delivering the high compute power needed for real-time performance. CPUs handle decision- making logic, such as path planning or control, leveraging their sequential processing strengths. DPUs offload network and storage tasks (e.g., sensor data ingestion), reducing the burden on GPUs and CPUs, enhancing overall system efficiency.
Option B is incorrect-CPUs lack the parallelization for efficient object detection. Option C underestimates the CPU's role, which is critical for decision-making. Option D ignores the DPU's contribution, which NVIDIA emphasizes for I/O optimization in DRIVE systems. Option A aligns with NVIDIA's documented architecture for autonomous driving.

by Lewis at Oct 29, 2025, 06:45 AM

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