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Google Professional Data Engineer Exam - Topic 3 Question 31 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 31
Topic #: 3
[All Professional Data Engineer Questions]

You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

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Suggested Answer: A

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Catarina
4 months ago
Wait, can we really get it done in just a few days?
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Regenia
4 months ago
C could work too, especially if we need it fast.
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Ines
4 months ago
D sounds cool, but isn't it more time-consuming?
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Temeka
4 months ago
I think reducing the dataset (B) might hurt accuracy.
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Ceola
5 months ago
A is the quickest way to get started!
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Ozell
5 months ago
Training our own model with transfer learning sounds appealing, but I worry it might take longer than a few days.
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Keena
5 months ago
I think option C could work too, especially if we provide good custom labels. It might save time.
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Jesusita
5 months ago
I'm not entirely sure, but reducing the dataset in option B might not be the best idea since we have enough examples.
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Ronald
5 months ago
I remember we discussed using Cloud Vision AutoML for similar projects, so option A seems like a solid choice.
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Francisca
5 months ago
This looks like a tricky question, but I think I can narrow it down. SD-Access is a Cisco solution, so the answer is likely one of their products.
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Salina
5 months ago
Alright, let's do this. I just need to remember the right formulas and unit conversions. As long as I take my time and double-check my work, I should be able to nail this question.
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