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Google Professional Machine Learning Engineer Professional-Machine-Learning-Engineer Question # 65 Topic 7 Discussion

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Google Professional Machine Learning Engineer Professional-Machine-Learning-Engineer Question # 65 Topic 7 Discussion

Professional-Machine-Learning-Engineer Exam Topic 7 Question 65 Discussion:
Question #: 65
Topic #: 7

Your company ' s business stakeholders want to understand the factors driving customer churn to inform their business strategy. You need to build a customer churn prediction model that prioritizes simple interpretability of your model ' s results. You need to choose the ML framework and modeling technique that will explain which features led to the prediction. What should you do?
A.

Build a TensorFlow deep neural network (DNN) model, and use SHAP values for feature importance analysis.

B.

Build a PyTorch long short-term memory (LSTM) network, and use attention mechanisms for interpretability.

C.

Build a logistic regression model in scikit-learn, and interpret the model ' s output coefficients to understand feature impact.

D.

Build a linear regression model in scikit-learn, and interpret the model ' s standardized coefficients to understand feature impact.

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Actual exam question for Google Professional-Machine-Learning-Engineer exam by Orion4577 at Mar 17, 2026, 9:39:01 AM

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