Databricks Certified Data Engineer - Associate

Explanation

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

Why this is correct:

1. The code snippet shows a JDBC connection string with jdbc:sqlite:/customers.db - this indicates a JDBC connection to a SQLite database.
2. In Spark SQL, when reading from JDBC sources, you use the format org.apache.spark.sql.jdbc or simply jdbc.
3. The syntax should be: USING org.apache.spark.sql.jdbc or USING jdbc.

Why other options are incorrect:

• B. autoloader: Auto Loader is for streaming file ingestion, not JDBC connections.
• C. DELTA: Delta format is for Delta Lake tables, not JDBC connections.
• D. sqlite: This is not a valid Spark format; Spark doesn't have a native sqlite format.
• E. org.apache.spark.sql.sqlite: This format doesn't exist in Spark; JDBC connections use the jdbc format.

Complete code would look like:

USING org.apache.spark.sql.jdbc
OPTIONS (
  url "jdbc:sqlite:/customers.db",
  dbtable "customer360"
)

USING org.apache.spark.sql.jdbc
OPTIONS (
  url "jdbc:sqlite:/customers.db",
  dbtable "customer360"
)

Or the simplified version:

USING jdbc
OPTIONS (
  url "jdbc:sqlite:/customers.db",
  dbtable "customer360"
)

USING jdbc
OPTIONS (
  url "jdbc:sqlite:/customers.db",
  dbtable "customer360"
)

This code would create a DataFrame by reading from a SQLite database using JDBC driver.