Examtopics

Professional Machine Learning Engineer

  • Topic 1 Question 27

    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?

    • Redaction, reproducibility, and explainability

    • Traceability, reproducibility, and explainability

    • Federated learning, reproducibility, and explainability

    • Differential privacy, federated learning, and explainability

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