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Question 177 - Cloud Digital Leader discussion

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certain devices for cracks, rust, etc. Some of these issues are difficult to identify for a human and your company has seen increasing customer complaints - the customer has paid for an inspection and the field agent said there was no problem, but it later turned out there actually was. The team has come up with a proposal to engage AI to identify issues. On evaluating the existing system, it is seen that the mobile phone network connection is not good or consistent. What solution can work for them?

A.
Use AutoML Vision Edge models.
Answers
A.
Use AutoML Vision Edge models.
B.
Use the Rust programming language instead of Python to identify issues like rust.
Answers
B.
Use the Rust programming language instead of Python to identify issues like rust.
C.
Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
Answers
C.
Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
D.
Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
Answers
D.
Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
Suggested answer: A

Explanation:

AutoML Vision Edge model can be deployed to one of several types of edge devices, such as mobile phones, ARM-based devices, and the Coral Edge TPU

https://cloud.google.com/vision/automl/docs/edge-quickstart

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asked 18/09/2024
k Solaimalai Raghu Raman
47 questions
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