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

Actual exam question for Google's Google Professional Machine Learning Engineer exam

Question #: 29
Topic #: 7

[All Google 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?

AUse the class distribution to generate 10% positive examples

BUse a convolutional neural network with max pooling and softmax activation

CDownsample the data with upweighting to create a sample with 10% positive examples

DRemove negative examples until the numbers of positive and negative examples are equal

Show Suggested Answer

Suggested Answer: B

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

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