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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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A financial services company is embarking on a project to develop a machine learning model aimed at predicting customer churn with high accuracy, scalability, and compliance with stringent financial regulations. The company possesses extensive customer data, including detailed transaction histories and records of customer service interactions. Given these constraints and objectives, which of the following best describes the primary and secondary objectives of this project? Choose the best two options.

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Explanation:

The primary objective of this project is to accurately predict customer churn (C), as this directly addresses the business's need to retain customers. Evaluating the model's performance (A) is a secondary objective, crucial for ensuring the model's predictions are reliable and meet both business and regulatory standards. Option E suggests that both objectives are equally primary, but while both are essential, prediction accuracy is the ultimate goal, with evaluation serving to validate this goal. Options B and D, while important for data handling and preparation, do not represent the primary or secondary objectives of the project.

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