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Answer: Traceability, reproducibility, and interpretability, to cover all aspects of auditability, consistency, and transparency., Traceability and reproducibility, to ensure the model's development process is auditable and its results are consistent over time.
The correct answers are **E** and **B** because they comprehensively address the need for auditability, consistency, and transparency in a regulated environment. Here's why: - **Traceability**: Essential for compliance, allowing every step of the model's development and decision-making process to be audited. - **Reproducibility**: Ensures that the model's performance is consistent over time, facilitating validation and updates. - **Interpretability**: Critical for transparency, enabling stakeholders to understand and trust the model's decisions. While federated learning and differential privacy (A) are important for privacy, they are not the primary focus for compliance in this context. Similarly, redaction (C) is more about data protection than model transparency. Reproducibility and interpretability (D) are important but do not fully cover the need for auditability without traceability.
Author: LeetQuiz Editorial Team
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As a Machine Learning Engineer at a regulated insurance company, you are tasked with developing a model to approve or reject insurance applications. The model must not only be effective in its predictions but also comply with strict regulatory standards. Considering the need for auditability, consistency, and transparency, which of the following sets of factors are MOST critical to ensure the model meets both performance and compliance requirements? Choose the two most appropriate options.
A
Federated learning and differential privacy, to enhance data privacy across distributed datasets.
B
Traceability and reproducibility, to ensure the model's development process is auditable and its results are consistent over time.
C
Interpretability and redaction, to make the model's decisions understandable to stakeholders and protect sensitive information.
D
Reproducibility and interpretability, to guarantee consistent model performance and clear understanding of its decisions.
E
Traceability, reproducibility, and interpretability, to cover all aspects of auditability, consistency, and transparency.