You are working on a regression task to predict car prices. Model Gamma has a Mean Absolute Error (MAE) of $1,200, while Model Delta has a Mean Absolute Error (MAE) of $1,500. Which model should be preferred based on the Mean Absolute Error (MAE), and what does this metric indicate?

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 managing an AI cluster where multiple jobs with varying resource demands are scheduled. Some jobs require exclusive GPU access, while others can share GPUs. Which of the following job scheduling strategies would best optimize GPU resource utilization across the cluster?

Your organization is setting up an AI model deployment pipeline that requires frequent updates. The team needs to ensure minimal downtime during model updates, version control, and monitoring of the models in production. Which software component would be most suitable to handle these requirements?

You are assisting a senior data scientist in optimizing a distributed training pipeline for a deep learning model. The model is being trained across multiple NVIDIA GPUs, but the training process is slower than expected. Your task is to analyze the data pipeline and identify potential bottlenecks. Which of the following is the most likely cause of the slower-than-expected training performance?