AWS Certified AI Practitioner (AIF-C01) — Question 117

A food service company wants to develop an ML model to help decrease daily food waste and increase sales revenue. The company needs to continuously improve the model's accuracy.

Which solution meets these requirements?

Answer options

• A. Use Amazon SageMaker and iterate with newer data.
• B. Use Amazon Personalize and iterate with historical data.
• C. Use Amazon CloudWatch to analyze customer orders.
• D. Use Amazon Rekognition to optimize the model.

Correct answer: A

Explanation

The correct answer, A, is appropriate because Amazon SageMaker is designed for building and improving machine learning models by allowing for continuous training with up-to-date data. Option B, while useful for personalized recommendations, does not focus specifically on model accuracy improvement for food waste and sales. Option C is more about monitoring rather than model development, and option D is not relevant as Amazon Rekognition is primarily for image and video analysis, not for improving ML model accuracy.