A company uses Amazon Athena to query an S3 dataset that contains a target variable they want to predict. They need to determine whether a model can successfully predict the target with minimal development effort. Which option provides this information with the least work?

Amazon SageMaker Autopilot is designed for exactly this scenario: automatically building, training, and tuning the best machine learning models for tabular data with minimal effort. It generates a leaderboard of models, including their performance metrics, directly addressing the need to determine prediction success with the least work. Writing custom preprocessing and implementing linear regression on EC2 instances requires significant manual effort and ML expertise. Amazon Macie is a data security and privacy service, not a machine learning model builder. Amazon Bedrock focuses on foundation models and generative AI, which is not the primary use case for predicting a target variable from a tabular S3 dataset.