In a Databricks Lakehouse, you are working databricks video
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In a Databricks Lakehouse, you are working with silver-level data which involves refined, cleansed, and transformed datasets. You have a silver table named CustomerInteractions that needs deduplication based on the customer_id and interaction_date columns. The requirement is to retain only the latest interaction for each customer on any given date. Which approach would be the most efficient for cleaning this data in Databricks?