A data engineer needs to create a table in Databricks using data from their organization’s existing SQLite database.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?
A data engineer needs to create a table in Databricks using data from their organization’s existing SQLite database.
They run the following command:
Which of the following lines of code fills in the above blank to successfully complete the task?
To create a table in Databricks using data from an SQLite database, you need to use the JDBC (Java Database Connectivity) format. The correct line of code to fill in the blank in this context is 'org.apache.spark.sql.jdbc'. This specifies that Spark should use the JDBC source to connect to the SQLite database and create the desired table. Therefore, the correct answer is option A.
A is correct
es JDBC
option A
Option A is correct answer
To specify the JDBC driver and other options, the using clause should be followed by the fully qualified name of the JDBC data source, which is org.apache.spark.sql.jdbc.
I think the correct answer is A. All that is missing the the jdbc drive. org.apache.spark.sql.jdbc
Es JDBC osea la A, pregunta con truco para confundir
option A
JDBC - Option A
Answer A - CREATE TABLE new_employees_table USING JDBC OPTIONS ( url "<jdbc_url>", dbtable "<table_name>", user '<username>', password '<password>' ) AS SELECT * FROM employees_table_vw
must be "USING JDBC", there is no such thing as "USING org.apache.spark.sql.jdbc". https://docs.databricks.com/external-data/jdbc.html#language-sql
I correct myself https://docs.yugabyte.com/preview/integrations/apache-spark/spark-sql/
A is correct
A is correct
Correct answer is A
A is correct
A is correct