Answer: The table was managed

## Explanation In Databricks/Spark SQL, there are two types of tables: 1. **Managed Tables** (also called internal tables): - The data files are stored in the default warehouse directory managed by Spark/Databricks - When you drop a managed table using `DROP TABLE`, both the metadata (table definition) AND the underlying data files are deleted - Spark/Databricks has full control over the data lifecycle 2. **External Tables** (also called unmanaged tables): - The data files are stored in an external location (like S3, ADLS, etc.) that you specify - When you drop an external table using `DROP TABLE`, only the metadata (table definition) is deleted - The underlying data files remain intact in the external location In this scenario, since both the metadata files AND data files were deleted from the file system after running `DROP TABLE IF EXISTS my_table;`, this indicates that `my_table` was a **managed table**. **Key points:** - Option A is correct because managed tables have their data lifecycle controlled by Spark/Databricks - Option D (external table) is incorrect because dropping an external table would only delete metadata, not the data files - Options B and C are incorrect because table size doesn't affect whether data gets deleted when dropping a table - Option E is incorrect because tables without a specified location are typically managed tables, but the key distinction is whether it's managed vs external, not just the presence of a location specification **Additional context:** - Managed tables are created without a `LOCATION` clause or with data stored in the default warehouse directory - External tables are created with a `LOCATION` clause pointing to external storage - The `IF EXISTS` clause simply prevents an error if the table doesn't exist, but doesn't affect whether data gets deleted

Author: Keng Suppaseth