A company needs an auditing solution that can analyze feature-level metadata, generate reports about that metadata, and allow setting feature sensitivity and authorship. Which option meets these requirements with the least development effort?

The correct answer leverages SageMaker Feature Store's ability to store feature-level metadata directly within feature groups. This allows for attaching crucial information like sensitivity and authorship. QuickSight is an excellent choice for analyzing and reporting on this metadata due to its robust visualization and reporting capabilities, requiring minimal development effort compared to building custom pipelines. The first incorrect option involves building a custom data pipeline and storing metadata in DynamoDB, which is more development effort than necessary. The second incorrect option suggests using SageMaker Studio to inspect metadata, which is possible but lacks the advanced reporting and analysis capabilities of QuickSight. The third incorrect option incorrectly states applying custom algorithms in SageMaker Feature Store to analyze metadata; Feature Store is for storage and retrieval, not for running custom analysis algorithms directly on metadata.