AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 181

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?

Answer options

• A. Train the model by using the Object2Vec algorithm.
• B. Train the model by using the linear learner algorithm.
• C. Train a neural network.
• D. Train the model by using the k-means algorithm.

Correct answer: B

Explanation

The linear learner algorithm is designed for linear models, which are inherently more interpretable and thus suitable for regulatory requirements. In contrast, the Object2Vec algorithm and k-means clustering do not provide the same level of explainability, and neural networks can be complex and challenging to interpret, making them less desirable for this scenario.