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Actual exam question for NVIDIA's NCA-AIIO exam Question #: 151 Topic #: 1
You are managing the deployment of an AI-driven security system that needs to process video streams from thousands of cameras across multiple locations in real time. The system must detectpotential threats and send alerts with minimal latency. Which NVIDIA solution would be most appropriate to handle this large-scale video analytics workload?
NVIDIA DeepStream (C) is specifically designed for large-scale, real-time video analytics workloads. It provides a software development kit (SDK) that leverages NVIDIA GPUs to process multiple video streams simultaneously, enabling tasks like object detection, classification, and tracking with minimal latency. DeepStream integrates with deep learning frameworks (e.g., TensorRT) and supports scalable deployment across distributed systems, making it ideal for a security system processing thousands of camera feeds. * NVIDIA Clara Guardian(A) is focused on healthcare applications, such as smart hospitals and medical imaging, not general-purpose video analytics for security. * NVIDIA Jetson Nano(B) is an edge computing platform for small-scale AI tasks, unsuitable for handling thousands of streams due to its limited processing power. * NVIDIA RAPIDS(D) accelerates data analytics and machine learning, not real-time video processing. DeepStream's ability to handle high-throughput video analytics with low latency makes it the best fit (C).
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