Amazon MLS-C01 Exam - Topic 9 Question 34 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 34
Topic #: 9

While working on a neural network project, a Machine Learning Specialist discovers thai some features in the data have very high magnitude resulting in this data being weighted more in the cost function What should the Specialist do to ensure better convergence during backpropagation?

ADimensionality reduction

BData normalization

CModel regulanzation

DData augmentation for the minority class

Show Suggested Answer

Suggested Answer: D

by Terrilyn at May 09, 2022, 11:47 AM

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Mammie

4 months ago

Not sure if data augmentation is relevant here.

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Gayla

4 months ago

Wait, can normalization really fix high magnitude issues?

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Tyisha

4 months ago

Definitely agree with normalization, it's a must!

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Josefa

4 months ago

I think dimensionality reduction could help too.

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Gearldine

5 months ago

Data normalization is key for better convergence!

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Adelle

5 months ago

Private placement is the way to go here. A best efforts offering is all about placing securities with investors, and that's the classic use case for a private placement, not a public issue.

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Zona

5 months ago

Okay, I think I've got a good handle on this. The key is to identify the core functionality needed - sending electronic letters and printing/mailing physical letters. I'm leaning towards the Extended Mail Merge option, as that seems like it would best meet those requirements.

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Cory

5 months ago

I'm pretty sure the interface identifier in IPv6 uses 64 bits, but I'll double-check the details in the notes to be sure.

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Alva

5 months ago

I think the internal customer concept means John is working within the same company as George, but I'm not completely sure which option that refers to.

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Destiny

5 months ago

I think the key is understanding how the DMP communicates the changes to the downstream routers. The options mention different ways it could do that, so I'll need to analyze each one closely.

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Eleonora

5 months ago

Honestly, I'm confused. I can't recall the exact terms used for these areas. "None of the above" might even fit if it's something I overlooked.

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