You are implementing a CI/CD pipeline for a machine learning project using AWS CodePipeline. The project involves training a model on large datasets, validating its performance, and deploying it to a SageMaker endpoint for real-time inference. Which configuration is the MOST EFFECTIVE for automating and managing the entire CI/CD process?