Exam AWS Certified Machine Learning - Specialty topic 1 question 297 discussion

EventBridge provide least development effort because we can just configure and trigger based on dataset drops in S3. Lambda will require some development effort

D requires minimal effort as it involves configuring EventBridge to monitor the S3 bucket for new data uploads and automatically triggering the SageMaker pipeline to perform the transformations on the new data while leveraging native Eventbridge -> Pipeline integration.

https://docs.aws.amazon.com/sagemaker/latest/dg/automating-sagemaker-with-eventbridge.html

Answer: D Explanation: The best solution is to configure Amazon EventBridge to run a predefined SageMaker pipeline to perform the transformations when a new data is detected in the S3 bucket. This solution requires the least development effort because it leverages the native integration between EventBridge and SageMaker Pipelines, which allows you to trigger a pipeline execution based on an event rule. EventBridge can monitor the S3 bucket for new data uploads and invoke the pipeline that contains the same transformations and feature engineering steps that were defined in SageMaker Data Wrangler. The pipeline can then ingest the transformed data into the online feature store for training and inference.