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Microsoft AI-900 Exam - Topic 1 Question 20 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 20
Topic #: 1
[All AI-900 Questions]

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

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Suggested Answer: C

Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.


https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

by Buddy at May 07, 2022, 09:52 PM

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Lisha
4 months ago
100% agree on computer vision!
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Lemuel
4 months ago
Wait, can a machine really identify shapes like that?
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Aleisha
4 months ago
Natural language processing? That's a stretch.
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Amber
4 months ago
I think anomaly detection could work too.
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Linwood
5 months ago
Definitely computer vision for this!
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Shakira
5 months ago
Natural language processing doesn't seem relevant here, but I'm a bit confused about why we wouldn't use anomaly detection instead.
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Noel
5 months ago
I practiced a similar question, and I feel like computer vision is definitely the way to go for recognizing the bottle shapes.
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Kendra
5 months ago
I'm not entirely sure, but I remember something about anomaly detection being used for identifying outliers. Could that apply here?
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Jenelle
5 months ago
I think we might need to use computer vision since it involves identifying shapes and objects, right?
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Art
5 months ago
This seems like a straightforward question about procurement strategies. I think the key is to focus on the goal of encouraging innovation, so an outcome-focused specification or transparent selection criteria would be the way to go.
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Lelia
5 months ago
Ah, this is a classic deployment troubleshooting question. The key is to focus on the log files that are likely to contain information about the specific deployment process. I'm confident I can nail this one.
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