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Amazon MLS-C01 Exam - Topic 1 Question 22 Discussion

A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations.Which solution should the Specialist recommend?
C) Collaborative filtering based on user interactions and correlations to identify patterns in the customer database
A) Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
B) A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database
D) Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database

Amazon MLS-C01 Exam - Topic 1 Question 22 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 22
Topic #: 1
[All MLS-C01 Questions]

A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations.

Which solution should the Specialist recommend?

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Suggested Answer: C

by Rory at May 05, 2022, 08:43 AM

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Lonna
8 months ago
Totally agree, collaborative filtering is super effective!
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Karl
8 months ago
Random Cut Forest? Never heard of that one!
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Glory
8 months ago
Neural networks could be overkill here, right?
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Katie
8 months ago
LDA seems too basic for complex patterns.
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Jerry
8 months ago
I think collaborative filtering is the way to go for this!
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Rodney
9 months ago
I'm a little confused by this question. There are a few different options, and I'm not sure which one is the best approach. I might start by looking at the Cloud SQL recommenders to see if there are any overprovisioned instances, but I'm also wondering if I should be focusing more on the application-level instrumentation like Sqlcommenter and Cloud Trace. I'll need to do some more research to figure out the best way to tackle this.
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Carey
9 months ago
I'm pretty confident this is a 'No' answer. Okta is more focused on identity and access management, not network traffic management.
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