Which format should you write a Spark dataframe to storage when preparing to create a Delta table?

• A. DELTA
• B. CSV
• C. PARQUET
• D. JSON

Answer: (A)

To create a Delta table directly, you should write the Spark DataFrame in Delta format. Delta format means Spark stores the data as Parquet files and also writes a Delta transaction log that tracks all changes, versions, and schema evolution. This combination enables ACID transactions, time travel, and reliable schema management when you work with Delta Lake. Writing with Delta format is the direct path to building a Delta table, whereas writing as Parquet would put data in Parquet files without the Delta log, and plain text formats like CSV or JSON lack the Delta metadata needed to form a Delta table without an additional conversion step. So the best choice is to write the data using the delta format.