Explanation

The correct answer is A. org.apache.spark.sql.jdbc.

Why this is correct:

1. JDBC Data Source Format: When creating a table using JDBC connection in Spark SQL, you need to specify the JDBC data source format, which is org.apache.spark.sql.jdbc.
2. SQLite JDBC Driver: The URL jdbc:sqlite:/customers.db indicates a SQLite database connection using the SQLite JDBC driver.
3. Spark SQL Syntax: The USING clause in Spark SQL's CREATE TABLE statement requires the fully qualified name of the data source format.

Why other options are incorrect:

• B. autoloader: Auto Loader is for streaming file ingestion, not for JDBC database connections.
• C. DELTA: Delta format is for creating Delta Lake tables, not for connecting to external JDBC databases.
• D. sqlite: This is not a valid Spark SQL data source format.
• E. org.apache.spark.sql.sqlite: This format doesn't exist in Spark SQL; the correct JDBC format is org.apache.spark.sql.jdbc.

Additional Context:

The OPTIONS clause provides the JDBC connection parameters:

• url: JDBC connection URL for SQLite database
• dbtable: The table name in the SQLite database to read from

This approach allows Spark to read data from SQLite databases using JDBC drivers and create a table reference in Databricks.