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Google Professional Data Engineer Exam - Topic 3 Question 31 Discussion

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?
A) Use Cloud Vision AutoML with the existing dataset.
B) Use Cloud Vision AutoML, but reduce your dataset twice.
C) Use Cloud Vision API by providing custom labels as recognition hints.
D) Train your own image recognition model leveraging transfer learning techniques.

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

by Jettie at May 05, 2022, 09:05 PM

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Catarina
7 months ago
Wait, can we really get it done in just a few days?
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Regenia
7 months ago
C could work too, especially if we need it fast.
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Ines
8 months ago
D sounds cool, but isn't it more time-consuming?
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Temeka
8 months ago
I think reducing the dataset (B) might hurt accuracy.
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Ceola
8 months ago
A is the quickest way to get started!
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Ozell
8 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
8 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
8 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
8 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
8 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
8 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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