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- Correct answer : A — The retriever tool's output chunks are appended to the conversation as a message, allowing the LLM to ground its next response on them. A . Correct. When the retriever tool executes, its output (the retrieved chunks) is appended to the conversation as a message, effectively adding the retrieved information to the agent's context. The LLM can then ground its next response on this newly available context along with the existing conversation history. B . Incorrect. The system prompt defines the agent's overall instructions and behavior and is not replaced by retrieved chunks. Instead, the chunks are added as supplementary context, augmenting rather than substituting the prompt. C . Incorrect. Writing chunks back to the source Delta table does not make them available to the LLM for the current request and would only duplicate data already indexed. The LLM obtains context directly from the retriever's output, not by re-querying the table. D . Incorrect. Unity Catalog function definitions describe a tool's interface and implementation, not a mechanism for passing per-query retrieval results. Retrieved content flows through the agent's context window, not by being injected into function definitions.