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Microsoft AI-102 Exam - Topic 2 Question 66 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 66
Topic #: 2
[All AI-102 Questions]

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code.

You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.

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Suggested Answer: B

by Loren at Jun 22, 2024, 06:00 AM

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Caprice
4 months ago
Not sure if just changing the model will fix the blur issue.
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Haley
4 months ago
Wait, does the Face API really struggle that much with sideways faces?
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Allene
4 months ago
Changing the detection model sounds like a solid plan.
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Gerald
4 months ago
I think switching to the Computer Vision service could help!
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William
5 months ago
Blurred images are tough for face detection.
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Harrison
5 months ago
I feel like using the Identify method instead of Detect might not solve the issue with blurred images, but I could be wrong.
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Justine
5 months ago
I practiced a similar question where changing the detection model helped improve results, so I’m leaning towards that option here.
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Joanne
5 months ago
I'm not entirely sure, but I think the Computer Vision service is more general and might not be as effective for face detection specifically.
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Merissa
5 months ago
I remember reading that different versions of the Face API might have improved detection capabilities, especially for challenging images.
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Chauncey
5 months ago
This seems straightforward to me. The question is clearly asking about improving the face detection capabilities, and changing the detection model (Option D) is the most logical choice to address that. I'm confident that's the right answer.
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Lauryn
5 months ago
Okay, let's see. The problem is that the current solution is failing to detect faces in certain types of images. Option D mentions changing the detection model, which sounds like the right approach to improve the performance. I'll go with that one.
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Vivan
5 months ago
I think the key here is to focus on improving the face detection capabilities, since the question specifically mentions issues with blurred and sideways faces. Option D seems like the best choice to address that.
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Jamey
5 months ago
Hmm, I'm a bit unsure about this one. The options seem pretty technical, and I'm not super familiar with the different Azure Cognitive Services. I'll need to think this through carefully.
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Paola
6 months ago
This question seems straightforward. I think the answer is C - bottom-up financial planning gathers information by adding up the costs of individual tasks and projects for the next budget cycle.
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Jade
6 months ago
Virtual routing and forwarding sounds familiar, but I feel like it's more about managing network traffic than running multiple OSes on one host.
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Ciara
6 months ago
I remember we talked about CDNs, but they primarily deal with content delivery, not SD-WAN. So I think it's down to SAG or maybe VPN Gateway.
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Chery
10 months ago
I'm just hoping the exam doesn't have any trick questions about using the Identify method to detect faces. That would be a real face-palm moment!
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Gregoria
11 months ago
Agreed, changing the detection model sounds like the best solution. Though I'd keep an eye on the other options just in case they have some hidden gems.
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Becky
9 months ago
D) Change the detection model.
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Glenna
9 months ago
B) Use the Computer Vision service instead of the Face service.
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Mel
10 months ago
A) Use a different version of the Face API.
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Christiane
11 months ago
Haha, I bet the person who wrote this question has had some real-world experience with those pesky sideways faces. Option D is definitely the way to go.
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Helga
10 months ago
I think we should go with option D to increase the likelihood of detecting faces in those challenging images.
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Lili
10 months ago
Yeah, changing the detection model should definitely help with detecting faces in blurred and sideways images.
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Stevie
10 months ago
I agree, option D seems like the best choice to improve face detection in those scenarios.
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Terrilyn
11 months ago
Interesting, I was thinking the same thing. The Face API might have a newer model that can handle those tricky scenarios better.
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Raina
10 months ago
B) Use the Computer Vision service instead of the Face service.
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Catalina
11 months ago
A) Use a different version of the Face API.
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Reita
11 months ago
Hmm, I think option D is the way to go. Changing the detection model should improve the solution's ability to handle blurred and sideways faces.
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Cristen
11 months ago
I think we should also consider changing the detection model to improve detection in images with sideways faces.
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Leota
11 months ago
I agree with Pete. Using a different version of the Face API might improve face detection in blurred images.
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Pete
11 months ago
I think we should use a different version of the Face API.
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