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Microsoft AI-102 Exam - 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.

Show Suggested Answer Hide Answer
Suggested Answer: B

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

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Cecilia
3 months ago
I disagree, I’d stick with A and B for a more straightforward approach.
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Ayesha
3 months ago
Wait, D? Analyzing logs sounds complicated. Is it really effective?
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Fairy
3 months ago
C seems useful, but I wonder if it’s enough on its own.
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Keith
4 months ago
I think B is the way to go too! Active Learning is key.
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Edelmira
4 months ago
A is definitely a solid choice for evaluation.
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Cecily
4 months ago
I feel like option D could be useful for analyzing logs, but I’m not sure if it directly measures the model's accuracy either.
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Janey
4 months ago
I’m a bit confused about option B. Active Learning is important, but does it directly evaluate accuracy?
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Jenise
4 months ago
I remember practicing with something similar to option C, where we looked at model performance metrics in Language Studio. That seems like a solid choice.
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Luz
5 months ago
I think option A sounds familiar, but I'm not entirely sure if it's the best way to evaluate the model's accuracy.
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Winifred
5 months ago
I'm feeling pretty confident about this one. I think the best approach is to use options C and D - checking the Model performance in Language Studio, and then analyzing the logs in Log Analytics to get a comprehensive view of the model's accuracy.
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Nicolette
5 months ago
Okay, I've got this. The key is to evaluate the model's accuracy before deployment, so I'll go with options A and B - retrieving the model evaluation summary from the language authoring REST endpoint, and validating the utterances logged for review in Active Learning.
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Ceola
5 months ago
Hmm, I'm a bit confused about the different options here. I'll need to double-check the details on each of these methods to make sure I understand them properly before selecting my answers.
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Kerrie
5 months ago
This seems pretty straightforward. I think I'll go with options B and C - enabling Active Learning in Language Studio to validate the utterances, and then checking the Model performance metrics.
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Herschel
5 months ago
Hmm, I'm not entirely sure about the "no matching events" option. I'll need to think that one through a bit more.
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Solange
5 months ago
I think "protocol" might be another category! It rings a bell from practice questions we went over last week.
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Franchesca
5 months ago
I remember practicing a similar question, and I believe you need to enter request info right after selecting a certificate.
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Marion
10 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
9 months ago
Cordelia: We should probably keep it professional and stick to regular language inputs for now.
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Cordelia
9 months 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
9 months ago
User 1: I agree, options A and D sound intense. I'll go with B and C too.
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Lenora
10 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
9 months ago
Lawana: We'll see how it goes during the evaluation process.
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Tonja
9 months ago
User 3: Let's hope the model can handle some humor!
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Lawana
10 months ago
User 2: User jokes might confuse the model during testing.
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Alayna
10 months ago
User 1: Option B sounds good. Active Learning and utterance validation in one place.
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Lenna
10 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
11 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
10 months ago
Option C in Language Studio is more visually intuitive and easier to understand for non-technical users.
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Geraldine
10 months ago
Option A seems more technical, but it can provide detailed information about the model evaluation.
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Gayla
11 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
9 months ago
It's great that we have tools like Active Learning to ensure our model is accurate before deployment.
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Oliva
9 months ago
Using Active Learning in Language Studio makes the evaluation process more efficient and user-friendly.
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Tony
10 months ago
I agree, it's important to continuously validate and improve the model's performance.
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Tom
10 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
11 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
11 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
11 months ago
I think we can use option A and option D to evaluate the accuracy of the model.
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