NCA-AIIO Practice Questions: AI Software Stack and Frameworks Domain

Correct Answer: B

Explanation: Shared memory provides much higher bandwidth and lower latency compared to global memory because it is located on-chip and can be accessed by all threads within a block. Understanding memory hierarchies is crucial for the hardware concepts covered in our Hardware and System Architecture practice questions.

Correct Answer: B

Explanation: The nvidia.com/gpu resource specification tells Kubernetes to allocate GPU resources to the pod. This container orchestration knowledge is essential for the deployment scenarios covered in our Deployment and Operations practice questions.

Correct Answer: B

Explanation: TensorRT is NVIDIA's inference optimization library that reduces model size and increases throughput for trained neural networks. TensorRT optimization techniques directly relate to the performance monitoring concepts in our Performance Optimization and Monitoring practice questions.

Correct Answer: B

Explanation: All-reduce operations efficiently synchronize gradients across all GPUs by computing the sum of gradients and distributing the result back to all participants. This distributed training concept connects to the infrastructure fundamentals covered in our AI Infrastructure Fundamentals practice questions.

Correct Answer: B

Explanation: Containerized environments with specific CUDA base images provide isolation, reproducibility, and easy deployment across different environments. This environment management strategy is essential for the deployment practices covered in our Deployment and Operations practice questions.