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Amazon MLS-C01 Exam - Topic 6 Question 56 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 56
Topic #: 6
[All MLS-C01 Questions]

A retail company is selling products through a global online marketplace. The company wants to use machine learning (ML) to analyze customer feedback and identify specific areas for improvement. A developer has built a tool that collects customer reviews from the online marketplace and stores them in an Amazon S3 bucket. This process yields a dataset of 40 reviews. A data scientist building the ML models must identify additional sources of data to increase the size of the dataset.

Which data sources should the data scientist use to augment the dataset of reviews? (Choose three.)

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Suggested Answer: B, D, F

by Ashlyn at May 09, 2022, 11:59 AM

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Micaela
4 months ago
Totally agree, more reviews mean better ML models!
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Ozell
4 months ago
Wait, news articles? How do they help with customer feedback?
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Walton
4 months ago
I think customer reviews from other sites are a must!
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Hermila
4 months ago
Emails could be useful too, but not sure how much they add.
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Mollie
5 months ago
Definitely go for social media posts! Lots of insights there.
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Merilyn
5 months ago
Hmm, this seems like a tricky one. I'll need to think through the storage options carefully and consider how to preserve the SPBM management end-to-end.
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Meghann
5 months ago
Okay, I've got this. The administrator should create a tab and add the screen flow to the page. That's the most straightforward way to make it accessible to the sales team.
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Scarlet
5 months ago
I'm pretty confident that the answer is GitHubApp (Option A). That's the authentication mechanism designed specifically for integrating GitHub with other services like Azure DevOps. It allows the Azure Pipelines identity to be used, which is exactly what the question is asking for.
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