Google Cloud Professional Machine Learning Engineer — Question 17

You are an ML engineer at a regulated insurance company. You are asked to develop an insurance approval model that accepts or rejects insurance applications from potential customers. What factors should you consider before building the model?

Answer options

• A. Redaction, reproducibility, and explainability
• B. Traceability, reproducibility, and explainability
• C. Federated learning, reproducibility, and explainability
• D. Differential privacy, federated learning, and explainability

Correct answer: B

Explanation

The correct answer is B because traceability ensures compliance with regulations by allowing the tracking of decisions made by the model, while reproducibility and explainability are crucial for understanding and validating the model's predictions. Options A, C, and D include factors that may not directly address regulatory compliance necessary for an insurance approval model.