Topic 1 Question 365
A data scientist needs to develop a model to detect fraud. The data scientist has less data for fraudulent transactions than for legitimate transactions.
The data scientist needs to check for bias in the model before finalizing the model. The data scientist needs to develop the model quickly.
Which solution will meet these requirements with the LEAST operational overhead?
Process and reduce bias by using the synthetic minority oversampling technique (SMOTE) in Amazon EMR. Use Amazon SageMaker Studio Classic to develop the model. Use Amazon Augmented Al (Amazon A2I) to check the model for bias before finalizing the model.
Process and reduce bias by using the synthetic minority oversampling technique (SMOTE) in Amazon EMR. Use Amazon SageMaker Clarify to develop the model. Use Amazon Augmented AI (Amazon A2I) to check the model for bias before finalizing the model.
Process and reduce bias by using the synthetic minority oversampling technique (SMOTE) in Amazon SageMaker Studio. Use Amazon SageMaker JumpStart to develop the model. Use Amazon SageMaker Clarify to check the model for bias before finalizing the model.
Process and reduce bias by using an Amazon SageMaker Studio notebook. Use Amazon SageMaker JumpStart to develop the model. Use Amazon SageMaker Model Monitor to check the model for bias before finalizing the model.
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- 正解だと思う選択肢: C
This approach leverages the integrated tools within Amazon SageMaker to streamline the process, reduce operational overhead, and ensure the model is both effective and unbiased.
👍 1MultiCloudIronMan2024/10/30 - 正解だと思う選択肢: C
A. No, porque usar EMR y A2I añade complejidad innecesaria y A2I no está diseñado para verificar sesgo. B. No, porque EMR y A2I implican mayor sobrecarga operativa y A2I no es la herramienta adecuada para evaluar sesgo. C. Sí, porque SageMaker Studio con JumpStart y Clarify permite aplicar SMOTE y evaluar el sesgo de forma integrada y rápida. D. No, porque Model Monitor se usa para monitorear modelos en producción, no para chequear sesgo antes de finalizar el modelo.
👍 1italiancloud20252025/02/18
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