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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, 10:52 PM

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Lisha
13 days ago
100% agree on computer vision!
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Lemuel
18 days ago
Wait, can a machine really identify shapes like that?
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Aleisha
24 days ago
Natural language processing? That's a stretch.
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Amber
29 days ago
I think anomaly detection could work too.
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Linwood
1 month ago
Definitely computer vision for this!
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Shakira
1 month 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
1 month 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
1 month 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
1 month ago
I think we might need to use computer vision since it involves identifying shapes and objects, right?
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Art
1 month 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
2 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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