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Microsoft Exam AI-102 Topic 4 Question 52 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 52
Topic #: 4
[All AI-102 Questions]

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

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You have a chatbot that uses question answering in Azure Cognitive Service for Language.

Users report that the responses of the chatbot lack formality when answering random questions that are outside the scope of the knowledge base.

You need to ensure that the chatbot provides formal responses to these spurious questions.

Solution: From Language Studio, you modify the question and answer pairs for the custom intents, and then retrain and republish the model.

Does this meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Erin
3 days ago
I'm with Ashlee on this one. Retraining the model is a logical step, and it could really help improve the formality of the responses. Although, I do wonder if there might be some other tweaks we could make to the language model as well. Maybe we should explore a few different options.
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Ashlee
4 days ago
Hmm, I don't know. Modifying the training data seems like a valid solution to me. If the responses are lacking in formality, then updating the question and answer pairs could be the way to go. Plus, it's a straightforward approach that's easy to implement.
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Carisa
5 days ago
Yeah, I agree with Nida. Retraining the model might be overkill for this problem. I think we should try some simpler approaches first, like adjusting the tone or adding some formal language templates to the responses.
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Nida
6 days ago
I'm not sure about this one. Modifying the question and answer pairs seems like a lot of work, and I'm not convinced it will actually make the responses more formal. Shouldn't we be looking at the language model itself, rather than just the training data?
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