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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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As a junior Data Scientist at a consulting firm, you've developed a TensorFlow model that has shown promising results during testing. Your next step is to prepare this model for production deployment. An experienced colleague advises against deploying the model in eager mode, citing performance and scalability concerns. Given the need for optimal performance, compatibility across different devices, and efficient resource utilization, which of the following steps should you take to transition your model from eager execution to graph execution? (Select 3 options)

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