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Google Professional Machine Learning Engineer Exam - Topic 7 Question 62 Discussion

You are training an object detection model using a Cloud TPU v2. Training time is taking longer than expected. Based on this simplified trace obtained with a Cloud TPU profile, what action should you take to decrease training time in a cost-efficient way?
A) Move from Cloud TPU v2 to Cloud TPU v3 and increase batch size.
B) Move from Cloud TPU v2 to 8 NVIDIA V100 GPUs and increase batch size.
C) Rewrite your input function to resize and reshape the input images.
D) Rewrite your input function using parallel reads, parallel processing, and prefetch.

Google Professional Machine Learning Engineer Exam - Topic 7 Question 62 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 62
Topic #: 7
[All Professional Machine Learning Engineer Questions]

You are training an object detection model using a Cloud TPU v2. Training time is taking longer than expected. Based on this simplified trace obtained with a Cloud TPU profile, what action should you take to decrease training time in a cost-efficient way?

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Suggested Answer: A

by Georgene at Apr 01, 2023, 04:43 PM

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Janey
7 months ago
Wait, can you really get better performance just by changing the input function?
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Dean
7 months ago
Definitely agree with the input function rewrite!
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Lashanda
7 months ago
Not sure about that, isn't batch size already maxed out?
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Karan
8 months ago
I think parallel processing is the way to go.
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Ena
8 months ago
Moving to TPU v3 could really speed things up!
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Daniel
8 months ago
Increasing the batch size sounds familiar, but I can't recall if that alone would solve the training time issue.
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Argelia
8 months ago
I practiced a similar question where parallel processing improved performance, so maybe option D is the right choice here.
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Arlette
8 months ago
I think moving to a Cloud TPU v3 could be beneficial, but I wonder if the cost would outweigh the benefits.
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Berry
8 months ago
I remember something about optimizing input functions, but I'm not sure if rewriting it would really help with the training time.
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Cherelle
8 months ago
Okay, let's see. The question is asking about identifying the geolocation information for a Sentinel incident. Based on the options, it seems like I need to look in the Incidents view and review the details of the associated entities. I think option B is the way to go.
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Mel
8 months ago
I've got a good feeling about B. Forwarding (IP) virtual servers bypass the normal load balancing process, so they don't use a default pool.
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Gerald
8 months ago
Okay, let me think this through. ALE is the expected annual loss from a threat, so it makes sense that it would involve the SLE and the frequency of the threat occurring. I'm leaning towards D, but I want to double-check my understanding.
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Oneida
8 months ago
I remember studying something about how MQTT is lightweight for IoT applications—definitely sounds like it fits the publish-subscribe model.
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