最新的NVIDIA-Certified Associate AI Infrastructure and Operations - NCA-AIIO免費考試真題

A. Supervised

B. Reinforcement

C. Clustering

A. NetQ

B. DCGM

C. NVIDIA System Monitor

A. They guarantee interpretability

B. They remove the need for labeled data

C. They exploit local connectivity and weight sharing

D. They reduce training time to zero

A. 8

B. 4

C. 7

A. Slurm is used for interconnecting nodes in an AI cluster.

B. Slurm helps with managing job scheduling and resource allocation in the cluster.

C. Slurm is used for data storage and retrieval in an AI cluster.

D. Slurm is responsible for AI model training and inference in an AI cluster.

A. Training architecture and inference architecture have the same requirements and considerations.

B. Training architecture is focused on optimizing performance while inference architecture is focused on reducing latency.

C. Training architecture and inference architecture cannot be the same.

D. Training architecture is only concerned with hardware requirements, while inference architecture is only concerned with software requirements.

A. A GPU is a single large and complex core to support massive compute operations.

B. A GPU acts as a PCIe controller to maximize bandwidth.

C. A GPU is architected to support massively parallel execution of simple instructions.