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Exam PL-500 topic 4 question 50 discussion

Actual exam question from Microsoft's PL-500
Question #: 6
Topic #: 4
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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You are developing a solution for a medical practice. The solution must use an artificial intelligence (AI) model to evaluate medical X-ray images and detect broken bones.
You need to create the AI model for the solution.
Solution: Use Azure Computer Vision to create the model.
Does the solution meet the goal?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

Comments

Chosen Answer:
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BP_Bot1
5 months, 1 week ago
Selected Answer: A
Correct
upvoted 1 times
BP_Bot1
5 months, 1 week ago
Sorry Answer is B
upvoted 1 times
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madimad
8 months, 3 weeks ago
chatgpt: NO
upvoted 1 times
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Mail20
9 months, 1 week ago
Answer: B. No
upvoted 2 times
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Lavisha17
1 year, 4 months ago
You need to create the Al model for the solution. Solution: Use Visual Studio to create the model. Does the solution meet the goal?
upvoted 1 times
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charles879987
1 year, 6 months ago
Selected Answer: B
Azure computer vision is not part of the AI model in power platform
upvoted 2 times
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dalones213
1 year, 7 months ago
Computer Vision is not pre-trained to recognize broken bones from x-rays. Hereby, a custom model aka custom vision is required.
upvoted 2 times
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stv
1 year, 8 months ago
Run Computer Vision in the cloud or on-premises with containers. Apply it to diverse scenarios, like healthcare record image examination, text extraction of secure documents, or analysis of how people move through a store, where data security and low latency are paramount. https://azure.microsoft.com/en-us/products/cognitive-services/computer-vision
upvoted 2 times
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Anchov
1 year, 10 months ago
I believe Custom Vision would be a better answer as you would need to train your own model to analyze X-rays.
upvoted 3 times
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