In a scenario where you are working with a Delta Lake table named 'customer_data' that contains columns 'customer_id', 'first_name', 'last_name', and 'email', you are tasked with creating a new table 'customer_email' that includes only the 'customer_id' and 'email' columns. The solution must optimize for performance and adhere to best practices for Spark SQL queries. Considering the need for efficiency and correctness, which of the following Spark SQL queries would you use to accomplish this task? (Choose one correct option)