Spark provides many options for how to store data in managed tables, such as TEXT, CSV, JSON, JDBC, PARQUET, ORC, HIVE, DELTA, and LIBSVM. These files are normally stored in the warehouse directory where managed table data is stored.
Spark also provides ways to create external tables over existing data, either by providing the LOCATION option or using the Hive format. Such external tables can be over a variety of data formats, including Parquet.
Azure Synapse currently only shares managed and external Spark tables that store their data in Parquet format with the SQL engines
Note "The Spark created, managed, and external tables are also made available as external tables with the same name in the corresponding synchronized database in serverless SQL pool."
Following examples of Managed and External Tables created on Spark: