A Python job reads millions of customer files in Cloud Storage; regulatory requirement: delete customer data immediately when the job finishes. Minimize total completion time. What should you do?

The most efficient way to delete millions of objects immediately after a job finishes is to use batch requests to the Cloud Storage API. This method allows you to send multiple delete requests in a single HTTP call, significantly reducing network overhead and improving deletion speed. Object Lifecycle Management rules are for automated, policy-based deletions over time, not immediate, on-demand deletion at job completion. Removing the bucket from the Google Cloud console is not a programmatic solution and doesn't directly address the immediate deletion of objects within the bucket. While gcloud storage rm --recursive can delete objects, using the Cloud Storage API directly with batch requests offers finer control and often better performance for very large-scale, programmatic deletions.