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Google Professional Machine Learning Engineer Exam - Topic 11 Question 21 Discussion

You are an ML engineer at a large grocery retailer with stores in multiple regions. You have been asked to create an inventory prediction model. Your models features include region, location, historical demand, and seasonal popularity. You want the algorithm to learn from new inventory data on a daily basis. Which algorithms should you use to build the model?
B) Reinforcement Learning
A) Classification
C) Recurrent Neural Networks (RNN)
D) Convolutional Neural Networks (CNN)

Google Professional Machine Learning Engineer Exam - Topic 11 Question 21 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 21
Topic #: 11
[All Professional Machine Learning Engineer Questions]

You are an ML engineer at a large grocery retailer with stores in multiple regions. You have been asked to create an inventory prediction model. Your models features include region, location, historical demand, and seasonal popularity. You want the algorithm to learn from new inventory data on a daily basis. Which algorithms should you use to build the model?

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Suggested Answer: B

by Karl at May 06, 2022, 10:30 PM

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Filiberto
10 months ago
Really? Daily learning sounds tricky. Can RNNs handle that?
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Tammara
10 months ago
Classification seems off for this problem, right?
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Stevie
11 months ago
Wait, why not use CNNs? They’re great for patterns too!
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Providencia
11 months ago
Definitely agree, RNNs can handle the sequential nature of inventory data well!
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Micheline
11 months ago
I think RNNs are a solid choice for time series data like this.
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Rodolfo
11 months ago
I don't think CNNs are the right choice for this kind of data, but I can't recall why. I remember they are more suited for image data.
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Augustine
11 months ago
I'm a bit confused about whether to use classification or regression for this problem. I feel like it leans more towards regression, but I need to double-check.
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Goldie
11 months ago
I think we might need a regression approach since we're predicting continuous inventory levels, but I'm not sure which specific algorithm fits best.
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Art
11 months ago
I remember practicing a question about time series forecasting, and I think RNNs could be useful here since we're dealing with historical demand data.
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Alonzo
11 months ago
I'm pretty confident that the answer is D. We need to create personas for the employee, HR, IT, and facilities teams to cover all the different steps in the hiring process. The question is pretty straightforward, so I don't think there's much room for confusion here.
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Vivan
11 months ago
Hmm, I'm a bit confused by the different EPGs and how they need to communicate. Let me re-read the question and think through the requirements step-by-step.
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Sean
11 months ago
I've got a good handle on the COSO framework, so I feel confident I can select the right principles from these options.
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Maryann
11 months ago
Hmm, this looks like a tricky one. I'll need to carefully analyze the exploit code to determine the expected result.
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Barbra
11 months ago
My notes mention that security should be a fundamental part of design rather than an afterthought. So, I guess that makes C the most relevant answer.
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