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Google Professional Machine Learning Engineer Exam - Topic 1 Question 52 Discussion

You are developing an ML model intended to classify whether X-Ray images indicate bone fracture risk. You have trained on Api Resnet architecture on Vertex AI using a TPU as an accelerator, however you are unsatisfied with the trainning time and use memory usage. You want to quickly iterate your training code but make minimal changes to the code. You also want to minimize impact on the models accuracy. What should you do?
B) Reduce the global batch size from 1024 to 256
A) Configure your model to use bfloat16 instead float32
C) Reduce the number of layers in the model architecture
D) Reduce the dimensions of the images used un the model

Google Professional Machine Learning Engineer Exam - Topic 1 Question 52 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 52
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You are developing an ML model intended to classify whether X-Ray images indicate bone fracture risk. You have trained on Api Resnet architecture on Vertex AI using a TPU as an accelerator, however you are unsatisfied with the trainning time and use memory usage. You want to quickly iterate your training code but make minimal changes to the code. You also want to minimize impact on the models accuracy. What should you do?

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Suggested Answer: B

by Casie at Sep 21, 2022, 08:08 PM

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Jesus
10 months ago
A and B are solid choices for quick fixes!
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Novella
10 months ago
Wait, reducing image dimensions? Isn't that a big deal?
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Fausto
10 months ago
C seems risky, might lose important features.
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Antonio
11 months ago
I think B might hurt accuracy too much.
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Alton
11 months ago
A is a good option for faster training!
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Francesco
11 months ago
I think reducing image dimensions might help with memory, but I worry it could impact the model's ability to detect fractures. Option D seems risky.
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Val
11 months ago
I feel like reducing the number of layers could hurt accuracy too much, so I’m hesitant about option C.
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Malika
11 months ago
I'm not sure, but I think reducing the batch size could speed up training time. Option B sounds familiar from practice questions.
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Katina
11 months ago
I remember reading that using bfloat16 can help with memory usage without significantly affecting accuracy, so option A might be a good choice.
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Marylou
11 months ago
I'm a bit confused by the `Sequence` class. I'll need to make sure I understand how it's generating the sequence of numbers.
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Marlon
11 months ago
Ah, I see what's going on here. The witness components are flagged as absent, so the administrator needs to re-integrate the Witness Host into the cluster. Option D looks like the right choice to me.
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Tonja
11 months ago
Okay, let me break this down step-by-step. I know syslog messages are sent from the switches, but I'm not sure about the exact path. I'll need to review the syslog configuration in ACI to determine the correct answer.
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Peggie
11 months ago
Ah, this is a tricky one. I'm not super familiar with the details of the top-down SOA approach. I'll have to use the process of elimination to narrow down the options and make my best guess.
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