Google Exam Professional Machine Learning Engineer Topic 1 Question 19 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 19
Topic #: 1

[All Professional Machine Learning Engineer Questions]

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?

ACreate a tf.data.Dataset.prefetch transformation

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

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

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

Show Suggested Answer

Suggested Answer: B

by Haydee at May 09, 2022, 08:56 AM

Limited Time Offer

25%

Off

Get Premium Professional Machine Learning Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Currently there are no comments in this discussion, be the first to comment!