Amazon MLS-C01 Exam - Topic 3 Question 28 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 28
Topic #: 3

The Chief Editor for a product catalog wants the Research and Development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are wearing the company's retail brand The team has a set of training data

Which machine learning algorithm should the researchers use that BEST meets their requirements?

ALatent Dirichlet Allocation (LDA)

BRecurrent neural network (RNN)

CK-means

DConvolutional neural network (CNN)

Show Suggested Answer

Suggested Answer: C

by Carmela at May 04, 2022, 03:46 PM

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Shizue

4 months ago

Totally agree, CNN is the way to go for detecting brands in images!

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Cassandra

4 months ago

Wait, are we sure CNN is the best choice? What about other options?

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Keneth

4 months ago

K-means? Really? That seems way off for this kind of problem.

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Sarah

4 months ago

I think RNN could work too, but not as well for images.

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Tori

5 months ago

Definitely go with Convolutional neural network (CNN). It's perfect for image tasks!

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Genevieve

5 months ago

I'm a bit confused by the options. Pareto Analysis and Expected Monetary Value don't seem directly relevant to assessing risks like floods and landslides. I'm leaning towards the Probability Impact Grid, but I want to double-check that it's the best fit.

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Natalie

5 months ago

Hmm, this looks like a straightforward question about the levels of a Pay Group. I'll need to carefully read through the options and select the three correct ones.

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Daniel

5 months ago

This seems straightforward enough. I'll just need to fill in the blanks with the right combination of methods and conditions to get the desired output. I'm feeling pretty confident about this one.

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