Amazon Web Services AWS Certified AI Practitioner AIF-C01 Question # 57 Topic 6 Discussion
AIF-C01 Exam Topic 6 Question 57 Discussion:
Question #: 57
Topic #: 6
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?
A.
Use Amazon SageMaker AI and iterate with the most recent data.
B.
Use Amazon Personalize and iterate with historical data.
Amazon SageMaker is AWS’s fully managed ML service that supports retraining and deploying models with new, recent data for continuous improvement. This directly meets the requirement to iterate and continuously improve model accuracy.
A is correct:
"Amazon SageMaker enables teams to retrain models using the most recent data, ensuring ongoing improvement in model accuracy."
(Reference: Amazon SageMaker Overview)
B (Amazon Personalize) is for recommendations, not general ML or waste reduction.
C (CloudWatch) is for monitoring, not ML training or deployment.
D (Rekognition) is for image/video analysis.
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