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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 110 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 110
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You work for a toy manufacturer that has been experiencing a large increase in demand. You need to build an ML model to reduce the amount of time spent by quality control inspectors checking for product defects. Faster defect detection is a priority. The factory does not have reliable Wi-Fi. Your company wants to implement the new ML model as soon as possible. Which model should you use?

  • A. AutoML Vision Edge mobile-high-accuracy-1 model
  • B. AutoML Vision Edge mobile-low-latency-1 model
  • C. AutoML Vision model
  • D. AutoML Vision Edge mobile-versatile-1 model
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Suggested Answer: B 🗳️
by mil_spyro at Dec. 13, 2022, 9:01 p.m.

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mil_spyro
Highly Voted 2 years, 8 months ago
Hence faster defect detection is a priority, AutoML Vision Edge mobile-low-latency-1 model should be the choice. This model is designed to run efficiently on mobile devices and prioritize low latency, which means that it can provide fast defect detection without requiring a connection to the cloud. https://cloud.google.com/vision/automl/docs/train-edge
upvoted 10 times
maukaba
1 year, 9 months ago
https://cloud.google.com/vertex-ai/docs/training/automl-edge-api
upvoted 1 times
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hiromi
Highly Voted 2 years, 7 months ago
Selected Answer: B
B "reduce the amount of time spent by quality control inspectors checking for product defects."-> low latency
upvoted 6 times
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YushiSato
Most Recent 1 year ago
low latency (MOBILE_TF_LOW_LATENCY_1) general purpose usage (MOBILE_TF_VERSATILE_1) higher prediction quality (MOBILE_TF_HIGH_ACCURACY_1)
upvoted 1 times
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fitri001
1 year, 3 months ago
Selected Answer: B
The AutoML Vision Edge mobile-low-latency-1 model prioritizes speed over accuracy, making it ideal for real-time defect detection on the factory floor without a stable internet connection. This allows for faster inspections and quicker identification of faulty products.
upvoted 2 times
fitri001
1 year, 3 months ago
Faster Defect Detection: This is the main priority, and the low-latency model is specifically designed for speed. Edge Device Compatibility: The model should run on a device without relying on Wi-Fi. AutoML Vision Edge models are optimized for edge deployments.
upvoted 1 times
fitri001
1 year, 3 months ago
A. AutoML Vision mobile-high-accuracy-1 model: While high accuracy is desirable, faster defect detection is the top priority in this case. This model might be slower due to its focus on accuracy. C. AutoML Vision model: This model is likely designed for cloud deployment and might not be suitable for running on an edge device without reliable Wi-Fi. D. AutoML Vision Edge mobile-versatile-1 model: This model prioritizes a balance between accuracy and latency. While faster than the high-accuracy model, it might be slower than the low-latency model for this specific use case.
upvoted 2 times
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MultiCloudIronMan
1 year, 4 months ago
Selected Answer: B
Edge device with low latency
upvoted 1 times
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M25
2 years, 3 months ago
Selected Answer: B
Went with B
upvoted 1 times
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TNT87
2 years, 5 months ago
Selected Answer: B
Answer B
upvoted 1 times
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ares81
2 years, 7 months ago
Selected Answer: B
It's B.
upvoted 1 times
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mil_spyro
2 years, 8 months ago
Selected Answer: B
vote B
upvoted 4 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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