MLA-C01 · Question #188
A bank needs to use Amazon SageMaker AI to create an ML model to determine which customers qualify for a new product. The bank must use algorithms that SageMaker AI directly supports. The model must…
The correct answer is B. Train the model by using the linear learner algorithm. The SageMaker linear learner algorithm is directly supported, produces interpretable coefficients, and enables clear explanations of how input features influence predictions, which is essential for regulatory explainability requirements.
Question
A bank needs to use Amazon SageMaker AI to create an ML model to determine which customers qualify for a new product. The bank must use algorithms that SageMaker AI directly supports. The model must be explainable to the bank’s regulators. Which modeling approach will meet these requirements?
Options
- ATrain the model by using the Object2Vec algorithm.
- BTrain the model by using the linear learner algorithm.
- CTrain a neural network.
- DTrain the model by using the k-means algorithm.
How the community answered
(22 responses)- A18% (4)
- B68% (15)
- C9% (2)
- D5% (1)
Explanation
The SageMaker linear learner algorithm is directly supported, produces interpretable coefficients, and enables clear explanations of how input features influence predictions, which is essential for regulatory explainability requirements.
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