Google Exam Professional Data Engineer Topic 4 Question 30 Discussion

Actual exam question for Google's Professional Data Engineer exam

Question #: 30
Topic #: 4

[All Professional Data Engineer Questions]

You are working on a niche product in the image recognition domain. Your team has developed a model that is dominated by custom C++ TensorFlow ops your team has implemented. These ops are used inside your main training loop and are performing bulky matrix multiplications. It currently takes up to several days to train a model. You want to decrease this time significantly and keep the cost low by using an accelerator on Google Cloud. What should you do?

AUse Cloud TPUs without any additional adjustment to your code.

BUse Cloud TPUs after implementing GPU kernel support for your customs ops.

CUse Cloud GPUs after implementing GPU kernel support for your customs ops.

DStay on CPUs, and increase the size of the cluster you're training your model on.

Show Suggested Answer

Suggested Answer: B

by Junita at May 07, 2022, 04:15 PM

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