A data engineering team ingests a small vendor reference table (about 5,000 rows) into a Fabric Lakehouse Delta table each night. The source system does not expose any reliable modified-date, version, or change-tracking metadata, and vendor records can be silently updated or deleted between runs. The team needs the Lakehouse table to always exactly match the current source state after each nightly run, while keeping the pipeline logic as simple as possible. Which loading pattern should they implement?