In a scenario where you are working as a Data Engineer on Azure Databricks, you need to extract data from a remote database using a JDBC connection. The requirements specify that the solution must be cost-effective, comply with data governance policies, and efficiently handle large volumes of data. Which of the following Spark DataFrame queries would you use to create a table named 'remote_data' from the JDBC connection, ensuring that the solution includes the necessary driver class for the JDBC connection and correctly specifies the URL, table name, username, and password as options? Choose the best option from the following: