In a scenario where you are working with a large dataset in Azure Databricks, you encounter a 'customer_preferences' column that contains JSON objects detailing various customer preferences. Your task is to ensure data quality by validating that the 'preferred_color' field is not present in any of the JSON objects within the 'customer_preferences' column. Considering the need for accuracy, efficiency, and adherence to Spark SQL syntax, which of the following queries would you use to achieve this validation? Choose the best option from the four provided.