I am preparing for the NVIDIA NCA AIIO exam and I am using Pass4Future NCA-AIIO practice exams as part of my study plan. I want to make sure my practice covers the real world topics and not only memorized questions. Can people share what technologies they saw on the exam or in realistic practice tests and labs?
From what I understand, the exam covers accelerated computing use cases, GPU architecture, the NVIDIA software stack, and infrastructure and operations topics. This is listed on the official NVIDIA certification page.
Based on other study guides and community notes I expect questions on CUDA and GPU programming libraries, cuDNN and NCCL, inference and optimization tools such as TensorRT and Triton, and GPU interconnect and isolation technologies like NVLink and MIG. I have seen NVLink and MIG technologies appear frequently in practice material. I also expect infrastructure topics such as data center networking, storage considerations, cluster orchestration, containers and Kubernetes for deployment, and monitoring and troubleshooting of GPU workloads. Several prep guides and courses emphasize these areas.
A quick question about the practice source I am using, Pass4Future, offers NCA AIIO practice questions. Has anyone used Pass4Future for NVIDIA Certification exam prep and can comment on how well their questions match the official scope and how ethical and safe it is to use these materials alongside official resources?