NCA Computer Vision & NLP Workloads 2

Question 1

Which NVIDIA library provides GPU-accelerated primitives for computer vision preprocessing tasks such as resizing, normalization, and color space conversion?

Accepted Answer

DALI

Answer

NVIDIA DALI (Data Loading Library) provides highly optimized GPU-accelerated data preprocessing pipelines for computer vision workloads.

Question 2

In NLP transformer models, what technique allows processing longer sequences than the model was originally trained on by adjusting positional encodings?

Accepted Answer

Rotary Position Embedding (RoPE) scaling

Answer

RoPE scaling modifies the rotation frequencies of positional encodings to extend context length beyond the training window.

Question 3

What is the primary purpose of using INT8 quantization for a deployed computer vision model on NVIDIA GPUs?

Accepted Answer

To reduce memory footprint and increase inference throughput

Answer

INT8 quantization reduces model weights from 32-bit or 16-bit floats to 8-bit integers, cutting memory usage and boosting inference speed with minimal accuracy loss.

Question 4

Which component of TensorRT is responsible for fusing multiple consecutive layers (e.g., Conv + BatchNorm + ReLU) into a single optimized kernel?

Accepted Answer

Layer fusion optimizer

Answer

TensorRT's layer fusion optimizer combines compatible adjacent layers into a single kernel, reducing memory bandwidth and kernel launch overhead.

Question 5

For a real-time object detection pipeline, which NVIDIA framework provides end-to-end video analytics with DeepStream?

Accepted Answer

DeepStream SDK

Answer

NVIDIA DeepStream SDK provides a streaming analytics toolkit built on GStreamer for building AI-powered video analytics applications.

(NCA) NVIDIA-Certified Associate Practice Test

(NCA) NVIDIA-Certified Associate Practice Test

NCA Computer Vision & NLP Workloads 2