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Google Professional Machine Learning Engineer Exam - Topic 7 Question 29 Discussion

You were asked to investigate failures of a production line component based on sensor readings. After receiving the dataset, you discover that less than 1% of the readings are positive examples representing failure incidents. You have tried to train several classification models, but none of them converge. How should you resolve the class imbalance problem?
B) Use a convolutional neural network with max pooling and softmax activation
A) Use the class distribution to generate 10% positive examples
C) Downsample the data with upweighting to create a sample with 10% positive examples
D) Remove negative examples until the numbers of positive and negative examples are equal

Google Professional Machine Learning Engineer Exam - Topic 7 Question 29 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 29
Topic #: 7
[All Professional Machine Learning Engineer Questions]

You were asked to investigate failures of a production line component based on sensor readings. After receiving the dataset, you discover that less than 1% of the readings are positive examples representing failure incidents. You have tried to train several classification models, but none of them converge. How should you resolve the class imbalance problem?

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Suggested Answer: B

by Jolene at May 03, 2022, 07:09 AM

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Carla
7 months ago
Convolutional networks might not be the best fit here.
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Britt
8 months ago
Wait, removing negatives? That seems extreme!
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Janey
8 months ago
Generating more positive examples sounds like a solid plan.
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Justine
8 months ago
I think downsampling is risky, might lose important data.
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Hershel
8 months ago
Class imbalance is a huge issue in ML!
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Glen
8 months ago
Using a CNN sounds interesting, but I don't recall it being a common solution for class imbalance issues.
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Sherron
8 months ago
I think downsampling could work, but I'm uncertain about how effective it would be in this case.
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Elmira
8 months ago
I remember reading about class imbalance, but I'm not sure if generating more positive examples is the best approach.
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Ethan
8 months ago
I practiced a similar question where we had to balance classes, and I think removing negatives might lead to losing important data.
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Carissa
8 months ago
I'm feeling pretty confident about this one. The drone control should run in the edge cloud for low latency, and the video app can run in the central cloud since it's less sensitive to latency.
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Felicidad
8 months ago
This looks like a tricky one. I'll need to carefully analyze the structure and element names to determine the correct Send JSON Path.
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Stephaine
8 months ago
Hmm, I'm not confident. Is this about how companies might accidentally create environments that encourage unethical behavior?
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Wilburn
8 months ago
This question seems a bit tricky. I'll need to carefully read through the options to understand the nuances of Alibaba Cloud's intranet communication policies.
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Mable
8 months ago
The command looks straightforward, but I'm not 100% sure. I'll have to double-check the Docker documentation to be certain.
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