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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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As an ML engineer at your company, you are tasked with developing a model to identify your company’s products in images. You have access to over one million high-resolution product images stored in a Cloud Storage bucket. Your goal is to experiment with multiple TensorFlow models using Vertex AI Training. To ensure efficient training and minimize data I/O bottlenecks, you need a strategy to read images at scale during the training process. What should you do?

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