The correct answer is C. The efficient management of computational resources, as the expansion of datasets and models significantly increases the demand for computational power. Key challenges include hardware limitations, the need for distributed computing, efficient data storage and retrieval, and prolonged model training times.

• Why not A? Overfitting is a model-specific issue, not directly tied to scaling.
• Why not B? Underfitting relates to model complexity, not the logistical challenges of scaling.
• Why not D? While model interpretability is valuable, it doesn't pose a primary challenge in the context of scaling.