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Amazon MLS-C01 Exam - Topic 6 Question 3 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 3
Topic #: 6
[All MLS-C01 Questions]

A retail company intends to use machine learning to categorize new products A labeled dataset of current products was provided to the Data Science team The dataset includes 1 200 products The labeled dataset has 15 features for each product such as title dimensions, weight, and price Each product is labeled as belonging to one of six categories such as books, games, electronics, and movies.

Which model should be used for categorizing new products using the provided dataset for training?

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Suggested Answer: A

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Jamey
4 months ago
Totally agree, XGBoost seems like the best fit here!
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Annamae
4 months ago
Wait, why would they use DeepAR for this? Seems off.
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Sang
4 months ago
A regression forest? That sounds odd for categorization.
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Marti
4 months ago
I think a CNN might be overkill for this.
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Curtis
5 months ago
XGBoost is great for classification tasks!
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Herminia
5 months ago
This question seems straightforward, but I want to make sure I understand the key details before selecting an answer.
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Scot
5 months ago
I'm leaning toward the "Contact Center Overview and Specifications" too, but I just can't recall all the details of what I studied.
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Abel
5 months ago
Hmm, I'm a bit unsure about this one. The question is asking about adding something to the virtual server, but the options seem to be talking about Stream profiles and iRules. I'll need to make sure I understand the relationship between those components and the virtual server.
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