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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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Your team of data scientists is utilizing a cloud-based backend system for submitting training jobs, which has become increasingly complex and time-consuming to manage due to the variety of machine learning frameworks in use, including Keras, PyTorch, Theano, Scikit-learn, and custom libraries. You are tasked with selecting a managed service that simplifies administration while accommodating the diverse frameworks. The solution must also consider scalability, cost-effectiveness, and ease of integration with existing workflows. Which of the following options provides the best course of action? (Choose one correct option)

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