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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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You are tasked with developing a custom Deep Neural Network in Keras to predict customer purchases from historical transaction data. The project requires evaluating model performance across various architectures, storing training data, and comparing evaluation metrics on a unified dashboard. The solution must be scalable, cost-effective, and comply with data privacy regulations. Which of the following approaches best facilitates this? (Choose two correct options)

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