A Databricks job is designed to perform an ETL process on two distinct datasets using a single notebook task. This notebook extracts CSV files from an AWS S3 bucket, processes the data, and then stores the transformed data in an Azure blob storage. Subsequently, the data is retrieved from Azure, further transformed, and finally loaded into a Google Cloud bucket. Scheduled to run daily, the job encountered a failure after successfully writing data to Azure blob storage. The data engineer plans to use the Repair Run utility to address the failed task. What is the outcome of applying the Repair Run utility in this scenario?