최신 NCA-AIIO 무료덤프 - NVIDIA-Certified Associate AI Infrastructure and Operations
You are assisting a senior researcher in analyzing the results of several AI model experiments conducted with different training datasets and hyperparameter configurations. The goal is to understand how these variables influence model overfitting and generalization. Which method would best help in identifying trends and relationships between dataset characteristics, hyperparameters, and the risk of overfitting?
정답: B
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When virtualizing an infrastructure that includes GPUs to support AI workloads, what is one critical factor to consider to ensure optimal performance?
정답: B
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A global financial institution is implementing an AI-driven fraud detection system that must process vast amounts of transaction data in real-time across multiple regions. The system needs to be highly scalable, maintain low latency, and ensure data security and compliance with various international regulations. The infrastructure should also support continuous model updates without disrupting the service. Which combination of NVIDIA technologies would best meet the requirements for this fraud detection system?
정답: B
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Your AI data center is running multiple high-performance GPU workloads, and you notice that certain servers are being underutilized while others are consistently at full capacity, leading to inefficiencies. Which of the following strategies would be most effective in balancing the workload across your AI data center?
정답: D
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An organization is deploying a large-scale AI model across multiple NVIDIA GPUs in a data center. The model training requires extensive GPU-to-GPU communication to exchange gradients. Which of the following networking technologies is most appropriate for minimizing communication latency and maximizing bandwidth between GPUs?
정답: C
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Your AI team is deploying a large-scale inference service that must process real-time data 24/7. Given the high availability requirements and the need to minimize energy consumption, which approach would best balance these objectives?
정답: D
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A tech startup is building a high-performance AI application that requires processing large datasets and performing complex matrix operations. The team is debating whether to use GPUs or CPUs to achieve the best performance. What is the most compelling reason to choose GPUs over CPUs for this specific use case?
정답: B
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You are managing an AI infrastructure that includes multiple NVIDIA GPUs across various virtual machines (VMs) in a cloud environment. One of the VMs is consistently underperforming compared to others, even though it has the same GPU allocation and is running similar workloads.What is the most likely cause of the underperformance in this virtual machine?
정답: C
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Your organization is building a hybrid cloud system that needs to handle a variety of tasks, including complex scientificsimul-ations, database management, and training large AI models. You need to allocate resources effectively. How do GPU and CPU architectures compare in terms of handling these different tasks?
정답: C
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Which of the following has been the most critical factor enabling the recent rapid improvements and adoption of AI in various sectors?
정답: B
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