Professional-Machine-Learning-Engineer Exam Dumps | You have been asked to develop an input pipeline for an ML training model that processes images from

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Question 8/25

You have been asked to develop an input pipeline for an ML training model that processes images from disparate sources at a low latency. You discover that your input data does not fit in memory. How should you create a dataset following Google-recommended best practices?

A. Create a tf.data.Dataset.prefetch transformation

B. Convert the images to tf .Tensor Objects, and then run Dataset. from_tensor_slices{).

C. Convert the images to tf .Tensor Objects, and then run tf. data. Dataset. from_tensors ().

D. Convert the images Into TFRecords, store the images in Cloud Storage, and then use the tf. data API to read the images for training

Correct Answer: B

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