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Google Professional Machine Learning Engineer Exam - Topic 8 Question 63 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 63
Topic #: 8
[All Professional Machine Learning Engineer Questions]

You are designing an ML recommendation model for shoppers on your company's ecommerce website. You will use Recommendations Al to build, test, and deploy your system. How should you develop recommendations that increase revenue while following best practices?

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Suggested Answer: A

by Meaghan at Apr 19, 2023, 12:06 PM

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Jesusita
4 months ago
Surprised they suggest using placeholders, that could mess things up!
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Linwood
4 months ago
Placeholder values? That seems risky for testing the model.
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Rozella
4 months ago
Definitely need high-quality event streams for accurate recommendations.
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Maybelle
4 months ago
I think 'Other Products You May Like' could work better for click-throughs.
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Earlean
4 months ago
'Frequently Bought Together' is a solid strategy!
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Lera
5 months ago
The 'Other Products You May Like' option sounds familiar, but I think it was mentioned as less effective than the 'Frequently Bought Together' approach. I should double-check that.
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Delisa
5 months ago
I feel like importing user events is crucial for ensuring quality, but I wonder if it’s enough on its own to drive revenue. We might need to combine it with other strategies.
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Wilburn
5 months ago
I'm not entirely sure about using placeholder values for the product catalog. I think it might lead to inaccurate recommendations, but I can't recall the exact reasons we covered.
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Keshia
5 months ago
I remember we discussed the importance of using 'Frequently Bought Together' to boost cart size in our last practice session. It seems like a solid choice.
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Lore
5 months ago
I'm a bit confused by the options here. I'll need to double-check my understanding of ZFS snapshots and clones to determine the correct answer.
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Juan
5 months ago
I'm a bit confused by all the technical details in this question. Can someone explain to me in simpler terms what the different options are doing and how they relate to load balancing the NMSP data? I want to make sure I understand this properly.
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Dalene
5 months ago
Okay, I've got this. A virtual team formed across companies is definitely an inter-organizational structure, so I'm going with option C.
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Malika
5 months ago
I've got this! The two correct options are B (local disk) and D (Portworx storage). I'm confident in my answer.
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Patria
9 months ago
I'd have to go with Trevor on this one. Building a solid data foundation is key for any successful ML project. No shortcuts allowed!
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Therese
9 months ago
Haha, using placeholder values? That's like trying to bake a cake without any actual ingredients. Definitely not the way to go.
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Glory
8 months ago
Haha, using placeholder values? That's like trying to bake a cake without any actual ingredients. Definitely not the way to go.
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Aron
8 months ago
C) Import your user events and then your product catalog to make sure you have the highest quality event stream
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Ashlyn
8 months ago
B) Use the 'Frequently Bought Together' recommendation type to increase the shopping cart size for each order.
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Ronald
8 months ago
A) Use the 'Other Products You May Like' recommendation type to increase the click-through rate
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Trevor
9 months ago
Hold up, what about option C? Ensuring a high-quality event stream is crucial for the recommendation model to work accurately. I wouldn't skip that step.
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Desirae
10 months ago
I agree with Carry. Option B is the most suitable choice to boost the average order value for each customer.
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Kanisha
8 months ago
It's important to focus on increasing the average order value for each customer.
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Janine
9 months ago
I agree, using the 'Frequently Bought Together' recommendation type can help increase the shopping cart size.
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Marleen
9 months ago
I think option B is the best choice to increase revenue.
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Carry
10 months ago
Option B seems like the best approach to increase revenue. 'Frequently Bought Together' recommendations can effectively drive upsell and cross-sell opportunities.
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Bernardine
8 months ago
I think a combination of both approaches could be beneficial for developing the recommendation model.
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Chandra
8 months ago
That's true, but using placeholder values for the product catalog could help test the model's viability faster.
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Ryann
8 months ago
But wouldn't importing user events and product catalog ensure the highest quality event stream for better recommendations?
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Laurel
8 months ago
I agree, using 'Frequently Bought Together' recommendations can definitely increase revenue.
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Aileen
8 months ago
I think a combination of both approaches could be beneficial for developing the recommendation model.
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Myrtie
9 months ago
That's true, but using placeholder values for the product catalog could help test the model's viability faster.
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Tresa
9 months ago
But wouldn't importing user events and product catalog ensure the highest quality event stream for better recommendations?
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Deane
9 months ago
I agree, using 'Frequently Bought Together' recommendations can definitely increase revenue.
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Dulce
10 months ago
I'm not sure, I think we should consider option C to ensure we have the highest quality event stream.
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Nakisha
11 months ago
I agree with Eleonore, option B seems like the best choice for increasing revenue.
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Eleonore
11 months ago
I think we should use option B to increase the shopping cart size.
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