Q: 5
You are developing a solution for a medical practice. The solution must use an artificial intelligence (Al) model to evaluate medical X-ray images and detect broken bones. You need to create the Al model for the solution. Solution: Use Azure machine learning to create the model. Does the solution meet the goal?
Options
Discussion
Gotta be B, since PL-500 wants you to use AI Builder for Power Platform solutions, not Azure ML. I get that Azure ML can technically do the job but platform alignment matters on this exam. Pretty sure that's what they're testing here. Someone correct me if that doesn't fit what you know.
I don’t think it’s A. B is the better pick here. For PL-500, they expect you to use AI Builder for image classification tasks like this, especially since it’s built for Power Platform integration and requires less data science background. Azure ML is great but not the go-to in this context. Pretty sure that's how Microsoft frames these questions now. Anyone disagree?
Its B, official guide and practice tests mention AI Builder for this scenario in PL-500.
I actually think A could work, since Azure Machine Learning is definitely capable of handling image recognition tasks. The question doesn't strictly mention Power Platform integration. Maybe I'm missing something but seems close enough for the requirement. Agree?
I don’t think it’s B. I’d go with A since Azure Machine Learning is designed to build AI models, and I remember a similar scenario from labs where we used Azure ML for image recognition tasks. It should technically work for this requirement, even if AI Builder is more integrated. Let me know if you see it differently.
Probably B, since PL-500 expects you to use AI Builder for image stuff instead of Azure ML.
A Azure ML can do it, just not usually the first choice for PL-500.
B tbh, Azure ML is strong but for Power Platform you’d use AI Builder for this scenario.
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