Practice Free AIF-C01 Exam Online Questions
Question #121
A company deploys a custom ML model on Amazon SageMaker AI. The company uses the model to build a generative AI application for a healthcare recommendation system.
The company tests the application and finds a potential bias issue. The application consistently recommends different treatment approaches for patients who have identical medical conditions based on patient demographic information.
The company needs a solution to ensure that the application does not generate biased recommendations.
Which solution will meet this requirement?
- A . Use SageMaker Clarify to detect bias patterns. Collect and use additional balanced training data.
Use the data to retrain the model. - B . Implement prompt engineering techniques to explicitly instruct the model to provide fair recommendations regardless of demographics.
- C . Apply content filtering by using Amazon Comprehend to remove potentially biased recommendations before they reach users.
- D . Create separate foundation model (FM) endpoints for each demographic group to provide specialized care recommendations.