Stay ahead with 100% Free NVIDIA AI Infrastructure and Operations Associate NCA-AIIO Dumps Practice Questions
You are managing a machine learning pipeline in an AI data center where the training jobs are scheduled across multiple GPU clusters. Recently, you've noticed that certain training jobs are frequently delayed or rescheduled, leading to inconsistencies in model updates. After investigating, you find that these jobs often compete for the same resources. What is the most effective way to address this issue?
You are assisting a senior data scientist in analyzing a large dataset of customer transactions to identify potential fraud. The dataset contains several hundred features, but the senior team member advises you to focus on feature selection before applying any machine learning models. Which approach should you take under their supervision to ensure that only the most relevant features are used?
A financial institution is implementing a real-time fraud detection system using deep learning models. The system needs to process large volumes of transactions with very low latency to identify fraudulent activities immediately. During testing, the team observes that the system occasionally misses fraudulent transactions under heavy load, and latency spikes occur. Which strategy would best improve the system's performance and reliability?
You are managing an AI infrastructure setup where multiple GPUs are used to accelerate deep learning workloads. Suddenly, one of the nodes in the GPU cluster becomes unresponsive, leading to a significant drop in training performance. What should be your first course of action to troubleshoot the issue?
You are designing a data center platform for a large-scale AI deployment that must handle unpredictable spikes in demand for both training and inference workloads. The goal is to ensure that the platform can scale efficiently without significant downtime or performance degradation. Which strategy would best achieve this goal?
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