Free NCA-AIIO Mock Exam – Practice Online Confidently

Your AI team is running a distributed deep learning training job on an NVIDIA DGX A100 cluster using multiple nodes. The training process is slowing down significantly as the model size increases. Which of the following strategies would be most effective in optimizing the training performance?

You are responsible for deploying a deep learning model for image recognition across a global network of autonomous vehicles. The model requires real-time inference and must be updated frequently with new training data. The deployment needs to be highly efficient in both edge and cloud environments, with minimal latency. Which combination of NVIDIA technologies would best meet the requirements for this deployment?

You are managing an AI infrastructure that supports a healthcare application requiring high availability and low latency. The system handles multiple workloads, including real-time diagnostics, patient data analysis, and predictive modeling for treatment outcomes. To ensure optimal performance, which strategy should you adopt for workload distribution and resource management?

Which of the following has been the most critical factor enabling the recent rapid improvements and adoption of AI in various sectors?

You have developed two different machine learning models to predict house prices based on various features like location, size, and number of bedrooms. Model A uses a linear regression approach, while Model B uses a random forest algorithm. You need to compare the performance of these models to determine which one is better for deployment. Which two statistical performance metrics would be most appropriate to compare the accuracy and reliability of these models? (Select two)