NCA Edge AI & Embedded Systems 5

Question 1

A Jetson-based autonomous forklift must process lidar point clouds in real time. Which CUDA library is purpose-built for accelerating point cloud processing on NVIDIA GPUs?

Accepted Answer

CUDA-PCL (CUDA-accelerated Point Cloud Library)

Answer

CUDA-PCL provides GPU-accelerated implementations of common point cloud algorithms (voxelization, filtering, clustering) optimized for NVIDIA hardware.

Question 2

What is 'model pruning' in the context of edge AI optimization, and what is its primary benefit?

Accepted Answer

Eliminating near-zero weights or entire neurons from a trained network to reduce model size and inference compute

Answer

Pruning removes redundant weights or neurons that contribute little to model outputs, shrinking the model's memory footprint and reducing multiply-accumulate operations.

Question 3

In NVIDIA Jetson's security architecture, what is the purpose of Secure Boot?

Accepted Answer

Verifying cryptographic signatures on bootloader and OS images to prevent unauthorized firmware from running

Answer

Secure Boot uses a hardware root-of-trust and cryptographic signatures to ensure only authenticated firmware and OS images are executed at startup.

Question 4

Which technique allows a single Jetson device to run multiple independent AI models simultaneously with guaranteed latency isolation between them?

Accepted Answer

CUDA Multi-Instance GPU (MIG) — available on select Orin variants

Answer

MIG (on supported Orin variants) partitions the GPU into isolated instances with dedicated memory and compute, guaranteeing that one workload cannot starve another.

Question 5

A smart city edge node must aggregate inference results from 50 cameras and forward only event metadata to a cloud dashboard. Which edge computing pattern does this describe?

Accepted Answer

Fog computing with a gateway aggregator node

Answer

Fog computing places an intermediate processing layer (gateway) between edge sensors and the cloud to aggregate, filter, and reduce data before upstream transmission.

(NCA) NVIDIA-Certified Associate Practice Test

(NCA) NVIDIA-Certified Associate Practice Test

NCA Edge AI & Embedded Systems 5