Microsoft Exam AI-102 Topic 5 Question 68 Discussion

Actual exam question for Microsoft's AI-102 exam

Question #: 68
Topic #: 5

[All AI-102 Questions]

You train a Conversational Language Understanding model to understand the natural language input of users.

You need to evaluate the accuracy of the model before deploying it.

What are two methods you can use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

AFrom the language authoring REST endpoint, retrieve the model evaluation summary.

BFrom Language Studio, enable Active Learning, and then validate the utterances logged for review.

CFrom Language Studio, select Model performance.

DFrom the Azure portal, enable log collection in Log Analytics, and then analyze the logs.

Show Suggested Answer

Suggested Answer: B

by Cristal at Jul 09, 2024, 09:14 AM

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Marion

2 months ago

Whoa, options A and D sound like they're straight out of a cyberpunk novel. I'll just stick to the user-friendly options B and C and leave the portal diving to the IT folks. Although, I do wonder if the model will understand my memes. Gotta keep it professional, I suppose.

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Dominga

10 days ago

Cordelia: We should probably keep it professional and stick to regular language inputs for now.

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Cordelia

16 days ago

User 2: Yeah, let's leave the portal stuff to the IT team. I'm curious if the model can handle memes though.

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Jess

29 days ago

User 1: I agree, options A and D sound intense. I'll go with B and C too.

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Lenora

2 months ago

I'm all about efficiency, so option B is my pick. Active Learning and utterance validation in one place? Sign me up! Although, I do wonder if the model will understand my jokes during the testing process. Guess we'll find out.

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Aileen

19 days ago

Lawana: We'll see how it goes during the evaluation process.

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Tonja

1 months ago

User 3: Let's hope the model can handle some humor!

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Lawana

1 months ago

User 2: User jokes might confuse the model during testing.

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Alayna

2 months ago

User 1: Option B sounds good. Active Learning and utterance validation in one place.

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Lenna

2 months ago

Option D is interesting, but do I really want to be dealing with Log Analytics and all that? I'd rather keep it simple and stick to the Language Studio tools. Maybe I'll just go with option C and call it a day.

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Stephanie

2 months ago

Hmm, I'm not sure about option A. Retrieving the model evaluation summary from a REST endpoint sounds a bit technical and not very user-friendly. I'd prefer something more visually intuitive, like option C in Language Studio.

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Annette

2 months ago

Option C in Language Studio is more visually intuitive and easier to understand for non-technical users.

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Geraldine

2 months ago

Option A seems more technical, but it can provide detailed information about the model evaluation.

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Gayla

2 months ago

Option B seems like the way to go. Active Learning is a great way to validate the model's performance and get real-time feedback from users. Plus, it's right there in Language Studio - no need to dig through the Azure portal!

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Hubert

27 days ago

It's great that we have tools like Active Learning to ensure our model is accurate before deployment.

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Oliva

28 days ago

Using Active Learning in Language Studio makes the evaluation process more efficient and user-friendly.

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Tony

2 months ago

I agree, it's important to continuously validate and improve the model's performance.

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Tom

2 months ago

Option B is definitely a good choice. Active Learning can help improve the model's accuracy over time.

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Adell

2 months ago

I prefer option B and option C. Active Learning in Language Studio can help improve the model's understanding, and selecting Model performance will give us a clear view of its accuracy.

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Noel

3 months ago

I agree with Winifred. Option A will give us a summary of the model evaluation, and option D will help us analyze the logs for further insights.

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Winifred

3 months ago

I think we can use option A and option D to evaluate the accuracy of the model.

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