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Amazon MLS-C01 Exam - Topic 8 Question 29 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 29
Topic #: 8
[All MLS-C01 Questions]

An insurance company is developing a new device for vehicles that uses a camera to observe drivers' behavior and alert them when they appear distracted The company created approximately 10,000 training images in a controlled environment that a Machine Learning Specialist will use to train and evaluate machine learning models

During the model evaluation the Specialist notices that the training error rate diminishes faster as the number of epochs increases and the model is not accurately inferring on the unseen test images

Which of the following should be used to resolve this issue? (Select TWO)

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Suggested Answer: B, D

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Beckie
4 months ago
Totally agree, more data is key for unseen test performance!
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Hana
4 months ago
10,000 images seems low for training a model like this.
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Jacqueline
4 months ago
Complex architecture might just overfit the data.
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Felicia
4 months ago
I think adding L2 regularization could help too.
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Denny
5 months ago
Data augmentation is a must for better generalization!
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Tran
5 months ago
This is a good opportunity to practice my indexing skills. I'll need to think about the data distribution and access patterns to determine the best indexes to create.
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Aaron
5 months ago
This seems pretty simple. I'd just remove the request group from the new US Payables Manager responsibility. That should block access to the Invoice Payments menu item.
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