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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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In your role as a Machine Learning Engineer at an online retail company, you are tasked with enhancing a visual search engine. The company is about to launch a new line of products, and you've configured an end-to-end ML pipeline on Google Cloud to detect if an image contains the company's product. To accommodate the new products, you've enabled the retraining feature in the pipeline. Utilizing AI Platform's continuous evaluation service, you aim to ensure the models maintain high accuracy on your test dataset. Considering the need for the model to adapt to new products without compromising the evaluation of existing product detection, what is the BEST approach to manage your test dataset? (Choose one correct option)

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