Microsoft AI-900 Exam - Topic 11 Question 41 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 41
Topic #: 11

Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?

Aproviding examples

Bfine-tuning

Cgrounding data

Dsystem messages

Show Suggested Answer

Suggested Answer: A

Classification

by Jeanice at Jan 11, 2023, 03:26 AM

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Ronnie

4 months ago

I’m not so sure about that, could be system messages too.

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Alva

4 months ago

Totally agree, grounding data makes sense here.

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Simona

5 months ago

Wait, is grounding data really a thing?

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Glennis

5 months ago

I thought it was fine-tuning?

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Erasmo

5 months ago

It's definitely grounding data!

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Katy

5 months ago

I’m a bit confused; I thought fine-tuning was more about adjusting the model rather than just providing context.

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Theola

5 months ago

This sounds similar to a question we did on examples, but I feel like grounding data fits better here.

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Lynelle

5 months ago

I remember practicing a question about system messages, but I don't think that's what this is asking for.

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Cherrie

5 months ago

I think providing contextual information might relate to grounding data, but I'm not entirely sure.

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Jesusita

5 months ago

Okay, the key here is that the API needs to allow technology partners to send security events to the Umbrella cloud for enforcement. I think option B is the best fit based on that requirement.

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Aleisha

5 months ago

I'm pretty confident I know the answer to this one. The Cisco best practice is to avoid placing more than 20 users per physical host.

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Eric

6 months ago

I'm a bit confused by the wording of the question. I'll need to re-read it carefully to make sure I understand the focus before selecting an answer.

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Hubert

6 months ago

Okay, let's take this step-by-step. First, I'll look at the requirements and see how they align with the StoreFront settings. Then I'll choose the best option to complete the sentence.

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Loreen

10 months ago

Grounding data, eh? Sounds like a fancy way of saying 'feeding the AI a bunch of relevant information so it doesn't make a complete fool of itself.'

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Kirk

9 months ago

Grounding data is essential for training AI models effectively.

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Iraida

9 months ago

Exactly, it helps the AI make more accurate and relevant responses.

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Elouise

9 months ago

Yeah, it's all about giving the AI some solid background to work with.

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Crista

10 months ago

Grounding data FTW! I mean, who wants an AI assistant that's just spitting out random nonsense without any real understanding of the task at hand?

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Shawna

9 months ago

C) grounding data

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Vivan

9 months ago

B) fine-tuning

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Georgeanna

9 months ago

A) providing examples

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Brice

11 months ago

Ooh, I'm going to have to go with C) grounding data on this one. Contextual information is key for AI systems to really understand what they're working with.

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Brandon

9 months ago

Fine-tuning the model can also make a big difference in the quality of the AI's output.

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Keshia

10 months ago

I think providing examples could also be helpful in improving the AI's responses.

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Lemuel

10 months ago

I agree, grounding data is essential for AI to make accurate predictions.

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Denise

11 months ago

Grounding data sounds like the right answer to me. I've heard that's an important technique for improving the quality of AI-generated content.

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Diego

9 months ago

Fine-tuning is another technique that can enhance the quality of AI-generated content by adjusting the model's parameters for better performance.

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Kip

9 months ago

Providing examples is also important for prompt engineering, as it helps the AI learn from specific instances to improve its responses.

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Cherry

9 months ago

I agree, grounding data is crucial for training AI models to understand the context of the information they are generating.

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Freeman

9 months ago

Grounding data is indeed the correct answer. It helps provide context for the AI to generate more accurate responses.

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Craig

9 months ago

System messages can play a role in guiding the AI solution to generate more accurate content.

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Belen

10 months ago

Fine-tuning the model based on specific data can also lead to better quality responses.

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Germaine

10 months ago

I agree, providing examples can also help improve the responses of a generative AI solution.

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Luis

10 months ago

Grounding data is crucial for enhancing the quality of AI-generated responses.

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Izetta

11 months ago

I'm not sure, but I think it could also be C) grounding data.

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Germaine

11 months ago

Hmm, I think this is an example of grounding data. Providing relevant information to the model helps it understand the context better and generate more accurate responses.

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