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Home/Exams/Google Cloud/PMLE/Practice

PMLEActiveGoogle Cloud · Professional

Google Cloud Certified Professional Machine Learning Engineer Practice Mode

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Question 28

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You are training a Resnet model on AI Platform using TPUs to visually categorize types of defects in automobile engines. You capture the training profile using the Cloud TPU profiler plugin and observe that it is highly input-bound. You want to reduce the bottleneck and speed up your model training process. Which modifications should you make to the tf.data dataset? (Choose two.)

Select 2 answers.

Marked answer: A

This question asks for 2 answers, but our data marks only 1. Compare with the community discussion below for the full answer.

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

Chose AD1
A) and D) are the right answers!
Chose AD2
A and D : https://www.tensorflow.org/guide/data_performance , interleave and prefetch
Chose AD2
Went with A & D

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