NCA Computer Vision & NLP Workloads 4

Question 1

Which technique in computer vision training uses two networks — a teacher and a student — where the student learns to mimic the teacher's output distribution rather than hard labels?

Accepted Answer

Knowledge distillation

Answer

Knowledge distillation trains a compact student model to replicate the soft probability outputs of a larger teacher model, improving efficiency while retaining accuracy.

Question 2

What is the primary advantage of using NVIDIA's Triton Inference Server for serving both CV and NLP models in production?

Accepted Answer

It provides concurrent model execution and dynamic batching across multiple frameworks

Answer

Triton supports multiple backends (TensorRT, PyTorch, TensorFlow, ONNX) simultaneously and enables dynamic batching to maximize GPU utilization across diverse workloads.

Question 3

For fine-tuning a large language model with limited GPU memory, which parameter-efficient method trains only a small set of adapter weights inserted between transformer layers?

Accepted Answer

LoRA (Low-Rank Adaptation)

Answer

LoRA freezes the original model weights and injects trainable low-rank decomposition matrices into attention layers, drastically reducing the number of trainable parameters.

Question 4

In a computer vision inference pipeline on Jetson devices, what compilation step converts a trained model to an optimized format that runs natively on the Jetson's GPU and DLA?

Accepted Answer

TensorRT engine build

Answer

Building a TensorRT engine on the target Jetson device produces a platform-specific optimized binary that leverages the GPU and Deep Learning Accelerator (DLA) cores.

Question 5

Which metric is most commonly used to evaluate object detection model performance, measuring precision across multiple IoU thresholds?

Accepted Answer

Mean Average Precision (mAP)

Answer

mAP averages the area under the precision-recall curve across all object classes and multiple IoU thresholds, providing a comprehensive detection quality metric.

(NCA) NVIDIA-Certified Associate Practice Test

(NCA) NVIDIA-Certified Associate Practice Test

NCA Computer Vision & NLP Workloads 4