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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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Your company has developed an innovative auction site specializing in furniture from various historical periods. You are tasked with creating a machine learning model that can accurately identify the period, style, and type of furniture from photos. Additionally, the model should assess whether a piece is of significant historical or aesthetic value, warranting a detailed estimate. After successful development, your manager requests that this service be accessible to mobile users at flea markets, where internet connectivity may be unreliable. The solution must be cost-effective, scalable, and capable of running on edge devices. Considering these requirements, which of the following Google Cloud services would be most suitable for deploying this model? (Choose two options if option E is available)

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