A is incorrect: Copilot does not train its AI model on organizational data. Prompts, responses, and data accessed through Microsoft Graph are not used to train foundation LLMs. Organization-specific context comes from real-time grounding, not model training. Reference: https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-privacy
B is incorrect: Copilot does not add links after generating a generic response. It retrieves organizational data through Microsoft Graph during the grounding step before generating its response, incorporating relevant content into the AI processing pipeline. Reference: https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-architecture
C is correct: Grounding is the process by which Copilot connects to contextual data sources through Microsoft Graph, such as emails, files, chats, and meetings. This anchors responses in organization-specific information rather than relying solely on the AI model's general training data. Reference: https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-architecture
D is incorrect: Copilot does not replace generic text post-generation. Grounding occurs before the prompt is sent to the LLM, enriching it with relevant organizational data so the model generates a contextually specific response from the start. Reference: https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-architecture