Free NVIDIA NCA-AIIO Actual Exam Questions - Question 1 Discussion

A and B, because CUDA handles GPU computing and TensorRT optimizes AI models.

Probably A and B. CUDA Toolkit is basically the foundation for running any NVIDIA GPU compute tasks, so it’s a must-have in AI environments. TensorRT is super important too since it’s designed specifically for optimizing AI inference, which is a key part of deploying AI models efficiently. The others, like JetPack SDK, are more specialized for embedded systems, and Nsight Systems is more of a profiling tool rather than an essential component of the software stack itself. GameWorks is definitely not related to AI at all, so it can be ruled out easily.

Maybe B and D could work here. TensorRT makes sense for AI inference optimization, while Nsight Systems is useful for profiling and debugging, which is crucial in AI development to fine-tune performance. CUDA Toolkit is fundamental too, but if the question leans towards software tools specifically tailored for AI, these two have more specialized roles. GameWorks (E) is for graphics, so probably not relevant. JetPack SDK is more for embedded systems, so unless the context says edge AI, it might not be essential in a general AI software stack.

B imo, TensorRT is essential for optimizing AI model inference, so it’s a strong pick. I’d also go with A, CUDA Toolkit, since it provides the fundamental programming environment for GPU acceleration. JetPack SDK (C) is more specialized for embedded systems, which might not be a general AI environment requirement. Same with Nsight Systems (D), more for debugging and profiling, not core AI software. GameWorks (E) is unrelated to AI tasks entirely.

I'd go with A and B. CUDA Toolkit and TensorRT seem like the core software for AI tasks.