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Amazon Exam MLS-C01 Topic 9 Question 67 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 67
Topic #: 9
[All MLS-C01 Questions]

A company that manufactures mobile devices wants to determine and calibrate the appropriate sales price for its devices. The company is collecting the relevant data and is determining data features that it can use to train machine learning (ML) models. There are more than 1,000 features, and the company wants to determine the primary features that contribute to the sales price.

Which techniques should the company use for feature selection? (Choose three.)

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Precious
2 days ago
I remember we discussed correlation plots in class, and they can really help visualize relationships between features. I think option B is a good choice.
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Pura
8 days ago
This seems pretty straightforward. I think the likely outcome of creating this type of chart is a quantitative analysis that will help management better understand the financial risks and potential impacts. I'll focus on clearly presenting the probability, impact, and financial details for each risk event.
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Magnolia
12 days ago
Hmm, I'm a bit confused by this one. I'll need to think it through carefully to make sure I understand the implications of the question.
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Cortney
13 days ago
Okay, let me see. The question mentions the subscriber key is in the _subscribers data view, so it's likely not a global unsubscribe list issue. I'm leaning towards the Auto Suppression List as the source.
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Pearlene
18 days ago
This seems straightforward enough. I'll carefully read through the options and select the two that I believe are true based on my knowledge of the address book audit log feature.
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