Microsoft AI-102 Exam - Topic 1 Question 56 Discussion

Actual exam question for Microsoft's AI-102 exam

Question #: 56
Topic #: 1

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.

After you answer a question in this section, you will NOT be able to return to it as a result, these questions will not appear in the review screen.

You are building a chatbot that will use question answering in Azure Cognitive Service for Language.

You upload Doc1.pdf and train that contains a product catalogue and a price list.

During testing, users report that the chatbot responds correctly to the following question: What is the price of ?

The chatbot fails to respond to the following question: How much does cost?

You need to ensure that the chatbot responds correctly to both questions.

Solution: from Language Studio, you create an entity for price, and then retrain and republish the model.

Does this meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: B

by Filiberto at Jan 22, 2024, 03:28 AM

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Kimberlie

6 months ago

No way, it should respond to both questions already!

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Cecily

6 months ago

Wait, will that really fix it?

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Mireya

6 months ago

Agree, creating an entity is key!

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Orville

7 months ago

I think it should work, but not sure.

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Sage

7 months ago

Sounds like a solid plan!

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Pearly

7 months ago

I think creating an entity for price could help, but I wonder if we also need to adjust the training data to include variations like "cost" to really meet the goal.

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Edna

7 months ago

I feel like we might need to do more than just create an entity. What if the phrasing of the question is too different?

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Julieta

7 months ago

This reminds me of a practice question where we had to ensure the chatbot understood synonyms. I think retraining the model is definitely a step in the right direction.

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Long

8 months ago

I remember we discussed how important it is to create entities for different types of questions, but I'm not sure if just adding an entity for price will cover all variations.

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Darnell

8 months ago

Hmm, I'm not sure if creating the price entity is the only way to solve this. The question mentions that there could be multiple correct solutions, so I might want to explore a few different options before deciding on the best approach.

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Cortney

8 months ago

The key here is to ensure the chatbot responds correctly to both questions. Creating the price entity and retraining the model seems like a logical approach to address the issue. I'd feel confident selecting the "Yes" option for this one.

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Ezekiel

8 months ago

I'm a bit confused about the part where it says "some question sets might have more than one correct solution, while others might not have a correct solution." Does that mean there could be multiple ways to solve this, or that there might not be a correct solution at all?

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Bethanie

8 months ago

This seems like a straightforward question. Creating an entity for price and retraining the model should solve the issue with the chatbot not responding to "How much does cost?".

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Chau

8 months ago

TLV236 sounds familiar as the multi-topology TLV. I'll go with that unless I can find a more definitive source to confirm.

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Whitley

8 months ago

Hmm, I'm not totally sure about this one. I know biometrics has to do with identifying people, but I'm not certain if it's just physical traits or other factors too. I'll have to think this through a bit more.

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Shonda

8 months ago

Okay, let me think this through step-by-step. The code seems to be doing some kind of operation on the image, and the commands are specifying how to handle that. I'll need to make sure I understand exactly what the commands are doing.

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Alton

2 years ago

Yeah, I agree. This is the kind of question that makes me wish I had a crystal ball to see the future of the exam. Who knows what other curveballs they might throw at us?

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Martin

2 years ago

I agree, there could be a better way to handle this.

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German

2 years ago

I don't think so. There might be another solution to make it work for both questions.

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Johnathon

2 years ago

B) No

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Santos

2 years ago

Yeah, I think creating an entity for price is the key here.

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Jolene

2 years ago

Yes, that will ensure that the chatbot responds correctly to both questions.

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Pura

2 years ago

A) Yes

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Rolf

2 years ago

Hmm, I see what you mean. Maybe we should also explore some more advanced techniques like entity linking or question answering models to really nail down this use case. I feel like there's more to it than just creating an entity.

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Wilda

2 years ago

You're right, the solution seems like a good start, but I'm not convinced it's the complete answer. I wonder if we need to do some additional preprocessing or text normalization to handle different phrasings of the same question.

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Gussie

2 years ago

I think this is a tricky question. The solution of creating an entity for price and retraining the model seems like a reasonable approach, but I'm not sure if it will fully address the issue of the chatbot failing to respond to 'How much does cost?'.

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