Amazon Exam MLS-C01 Topic 3 Question 82 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 82
Topic #: 3

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.)

AEmails exchanged by customers and the company's customer service agents

BSocial media posts containing the name of the company or its products

CA publicly available collection of news articles

DA publicly available collection of customer reviews

EProduct sales revenue figures for the company

FInstruction manuals for the company's products

Show Suggested Answer

Suggested Answer: B, D, F

by Quentin at Nov 26, 2023, 11:21 PM

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Dick

24 days ago

Ah, I see what you mean. I was also considering A and E, but those seem more focused on internal company data rather than external customer feedback. And F? I mean, instruction manuals? Not sure how that would help us understand customer sentiment.

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27 days ago

Hmm, this is an interesting question. I think the key here is to find additional sources of customer feedback that can complement the existing dataset of 40 reviews. Let's see what we have here...

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