Google Professional Machine Learning Engineer
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You are tasked with improving the sentiment analysis model for your company's social media page to ensure it remains accurate and up-to-date. The model processes real-time data from Pub/Sub using Dataflow for predictions. After each training iteration, the latest two versions of the model are kept live, with a traffic split favoring the newest version at an 80:20 ratio. Given the constraints of minimizing management overhead and ensuring seamless model updates, which of the following solutions is the BEST for managing this pipeline efficiently? Choose the correct option.
You are tasked with improving the sentiment analysis model for your company's social media page to ensure it remains accurate and up-to-date. The model processes real-time data from Pub/Sub using Dataflow for predictions. After each training iteration, the latest two versions of the model are kept live, with a traffic split favoring the newest version at an 80:20 ratio. Given the constraints of minimizing management overhead and ensuring seamless model updates, which of the following solutions is the BEST for managing this pipeline efficiently? Choose the correct option.
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