Your company stores hundreds of internal business reports.

The correct answer is B. Retrieval Augmented Generation (RAG). The requirement is to answer questions based on the content of internal business reports. RAG is the correct architecture because it retrieves relevant information from trusted internal documents at runtime and supplies that information as grounding context to the generative AI model. This allows the agent to generate answers that are more accurate, current, and relevant to the organization’s own content without retraining the model. Azure Machine Learning is mainly used for training and deploying predictive models. A Generative Adversarial Network is typically associated with synthetic content generation, especially images, and is not the right fit for document-grounded Q & A. Natural language processing is too broad; RAG is the specific recommended pattern.