To clear all objects generated or updated by the DLT pipeline, you can drop the tables manually using the DROP command as you've mentioned. However, to get a completely clean slate, including metadata like the tracking of already processed files in the cloud_files() directory, you'll need to consider both the data tables and the metadata stored in checkpoint directories.