You are working on a project that requires processing a large dataset stored in Azure Databricks. The dataset contains a primary key 'id' and a timestamp column 'event_time'. Your task is to create a new table that ensures data uniqueness based on the 'id' column and converts the 'event_time' to a timestamp format for accurate time-based analysis. Considering the requirements for data uniqueness, correct timestamp conversion, and optimal performance, which of the following Spark SQL queries would you choose? (Choose one option)