Google Exam Professional Machine Learning Engineer 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?

AUse the 'Other Products You May Like' recommendation type to increase the click-through rate

BUse the 'Frequently Bought Together' recommendation type to increase the shopping cart size for each order.

CImport your user events and then your product catalog to make sure you have the highest quality event stream

DBecause it will take time to collect and record product data, use placeholder values for the product catalog to test the viability of the model.

Show Suggested Answer

Suggested Answer: A

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

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Patria

16 days 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

17 days 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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Trevor

20 days 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

22 days 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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Marleen

2 days ago

I think option B is the best choice to increase revenue.

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Carry

1 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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