Which new documents would you add to both a conceptual index and a training data source before running an incremental build?

Adding documents that introduce new concepts to both a conceptual index and a training data source is essential for improving the system's understanding and handling of information. When new concepts are introduced, they signify that the existing models or indexes may not adequately represent or process these new ideas. By incorporating these documents, you can refine the conceptual index, ensuring it captures the latest trends and topics of interest.

This process enhances the training data source by allowing the system to learn from fresh material, ultimately leading to improved predictions and insights. Without including these new concept documents, the model risks becoming outdated and less effective in understanding current data trends.

The other options focus on the percentage of documents, their existing concepts, or minor adjustments to the population, which do not contribute to the essential aim of enhancing the conceptual framework being built. Prioritizing documents that introduce new concepts addresses the foundational need for evolving and adapting to new information.