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PROFESSIONAL-DATA-ENGINEER · Question #209
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…
The correct answer is A. Use Cloud Vision AutoML with the existing dataset. You've hit your limit · resets 5am (America/New_York)
Submitted by cyberguy42· Mar 30, 2026Operationalizing machine learning models
Question
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?
Options
- AUse Cloud Vision AutoML with the existing dataset.
- BUse Cloud Vision AutoML, but reduce your dataset twice.
- CUse Cloud Vision API by providing custom labels as recognition hints.
- DTrain your own image recognition model leveraging transfer learning techniques.
How the community answered
(35 responses)- A83% (29)
- B11% (4)
- C3% (1)
- D3% (1)
Explanation
You've hit your limit · resets 5am (America/New_York)
Topics
#Cloud Vision AutoML#image classification#PoC#transfer learning
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