Topic 1 Question 118
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?
Use Amazon SageMaker and iterate with newer data.
Use Amazon Personalize and iterate with historical data.
Use Amazon CloudWatch to analyze customer orders.
Use Amazon Rekognition to optimize the model.
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コメント(3)
- 正解だと思う選択肢: A
A. Use Amazon SageMaker and iterate with newer data.
Explanation:
To meet the requirements of decreasing food waste and increasing sales revenue, the company needs a machine learning model that can continuously improve and adjust based on new data.
Amazon SageMaker is a fully managed service that allows companies to build, train, and deploy machine learning models at scale. By iterating with newer data, the model can be continuously updated to reflect changing patterns in customer behavior, demand, and food consumption, leading to more accurate predictions over time.
👍 1aws_Tamilan2024/12/27 - 正解だと思う選択肢: A
The correct answer is A. Using Amazon SageMaker allows for continuous iteration and improvement of the model's accuracy with newer data.
👍 1may2021_r2024/12/28 - 正解だと思う選択肢: A
Provides tools for building, training, and iterating on ML models using newer data to continuously improve accuracy.
👍 1Jessiii2025/02/11
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