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Microsoft AI-900 Exam - Topic 1 Question 84 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 84
Topic #: 1
[All AI-900 Questions]

Which term is used to describe uploading your own data to customize an Azure OpenAI model?

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Suggested Answer: C

by Sherill at Feb 09, 2025, 02:31 PM

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Rex
3 months ago
Prompt engineering is cool, but not for this!
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Donte
3 months ago
Wait, is it really fine-tuning? Sounds too simple.
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Tarra
3 months ago
Definitely fine-tuning, no doubt about it.
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Thaddeus
4 months ago
I thought it was grounding, but fine-tuning makes sense.
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Romana
4 months ago
It's called fine-tuning!
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Alysa
4 months ago
I thought "completion" was about the output generated by the model, not the customization process. So, I’m leaning towards "fine-tuning."
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James
4 months ago
I feel like "prompt engineering" is more about how you interact with the model rather than uploading data.
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Quinn
4 months ago
I remember something about "grounding" being related to customizing models, but I can't recall the exact context.
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Tayna
5 months ago
I think the term might be "fine-tuning," but I'm not completely sure. It sounds familiar from our last practice session.
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Salome
5 months ago
Let's see here... Completion, grounding, fine-tuning, prompt engineering. Okay, I think I know what they're getting at with this question. I'm going to go with "fine-tuning" as my final answer.
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Alecia
5 months ago
Ah, I remember learning about this in class. I believe the term we're looking for is "fine-tuning" - that's when you upload your own data to customize an Azure OpenAI model, right? I'm pretty confident that's the correct answer.
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Kanisha
5 months ago
Hmm, I'm a bit unsure about the differences between some of these terms. I'll need to think through each option carefully to make sure I understand the nuances. Hopefully, I can eliminate a couple of the choices and narrow it down.
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Royce
5 months ago
This looks like a straightforward question about Azure OpenAI terminology. I think I've got a good handle on the concepts, so I'll carefully read through the options and select the one that best matches the description.
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Benton
12 months ago
Hey, if I can't fine-tune my OpenAI model, how am I supposed to make it do my taxes for me? C) all the way!
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Marla
11 months ago
User 2
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Marshall
12 months ago
User 1
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Kristal
1 year ago
I'm not sure, but prompt engineering also sounds like a possibility.
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Ivette
1 year ago
B) grounding? Really? That's more like something you do with electrical wiring, not AI models!
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Ines
12 months ago
D) prompt engineering
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Howard
12 months ago
C) fine-tuning
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Larue
1 year ago
I'm going with C) fine-tuning. It just makes sense to me, you know, like fine-tuning a car engine or something.
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Truman
1 year ago
I agree with Golda, fine-tuning makes sense for customizing the model.
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Reynalda
1 year ago
Hmm, I think D) prompt engineering might also be used for customizing an OpenAI model. Gotta love those fancy AI terms!
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Torie
11 months ago
Yeah, I've heard of grounding being used to describe uploading your own data to customize the model.
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Alease
12 months ago
I'm pretty sure it's D) prompt engineering for customizing an OpenAI model.
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Katlyn
12 months ago
I believe A) completion is the term used for uploading your own data to customize the model.
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Colette
12 months ago
Yeah, I agree. D) prompt engineering sounds like it could be used for customizing an OpenAI model.
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Melita
12 months ago
I think C) fine-tuning is the correct term for customizing an Azure OpenAI model.
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Virgie
12 months ago
I'm pretty sure D) prompt engineering is the term used for customizing an Azure OpenAI model.
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Huey
12 months ago
I believe A) completion is the term used for uploading your own data to customize an Azure OpenAI model.
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Lavonda
1 year ago
I think C) fine-tuning is the correct term for customizing an Azure OpenAI model.
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Golda
1 year ago
I think the answer is C) fine-tuning.
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Rodrigo
1 year ago
C) fine-tuning sounds like the right term to me. I learned about this in my Azure training.
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Shad
1 year ago
A) completion
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Luis
1 year ago
C) fine-tuning sounds like the right term to me. I learned about this in my Azure training.
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