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You have a table 'ORDERS in your Snowflake database. You are implementing a new data transformation pipeline. Before deploying the pipeline to production, you want to validate the changes in a development environment. You decide to use Time Travel to create a snapshot of the 'ORDERS' table before the transformation and compare it with the transformed data'. Which sequence of SQL commands would best facilitate this validation, assuming your development database and schema structure mirrors production?
Correct Answer: D
Option D is the most complete and reliable approach. It first creates a backup table in production using Time Travel before the transformation. Then, clones both the original (pre-transformation) table and the transformed table into the development environment. Finally, it compares these cloned tables to validate the transformation. The use of LAST_QUERY_ID() would not be suitable since the clone is required in the same session, while TIMESTAMP based approach is less reliable due to the lack of synchronisation on when the query was executed.