Six months after a Ridgeline policy PDF was indexed, the clinic updates its controlled-substance refill policy but does not re-upload or refresh the document in the Data Library. What is the most likely consequence?

Indexed content reflects the state of the document at the time it was ingested and chunked; it does not automatically update itself when the real-world source changes elsewhere. If Ridgeline updates the refill policy but never re-uploads or refreshes the corresponding Data Library document, the retriever will keep surfacing the old, now-inaccurate chunks, and the agent will keep grounding answers in stale content until someone refreshes the library. There is no mechanism by which the agent 'detects' a real-world change it was never told about — grounding only reflects what has actually been indexed. The Einstein Trust Layer's masking and toxicity functions are unrelated to content freshness and would not block answers simply because underlying content is outdated; it has no awareness of whether a policy value is current. There is also no stated automatic expiration of indexed content after a fixed period like six months — that is an invented constraint not grounded in how the Data Library works. The operational lesson for the exam: content freshness in Data 360 grounding is a maintenance responsibility, not something the platform enforces on its own.