Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 15

Question

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?

Accepted Answer

Correct answer: D. The correct answer is D. Option 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. Cloud Storage provides durable, scalable object storage that is fully managed. This option meets the real-time / low-latency performance requirement.

Google Cloud Professional Machine Learning Engineer PMLE — Question 15