that is correct: if the delta lake versions are still available, you could query the table using an older version. But that is if the version is still there. Delta lake does not keep all history.

Often it is 7 days, or 30 days depending on your configuration.

Something to check out on your workspace. If you are not too late you might be able to reconstruct it using time travel.

https://docs.databricks.com/delta/delta-batch.html#id10

You could consider deep cloning the delta table. But this comes with a cost (storage).

https://docs.databricks.com/spark/2.x/spark-sql/language-manual/clone.html