A Delta Lake table named `customer_churn_params` in the Lakehouse is utilized for churn prediction by the machine learning team. This table contains customer data aggregated from multiple upstream sources. The data engineering team currently refreshes this table nightly by completely overwriting it with the latest valid values from upstream sources. After each successful update, the team needs to identify the differences between the newly written version and the previous version of the table. Given this implementation, which approach can be used to accomplish this? | Databricks Certified Data Engineer - Professional Quiz