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

7 months ago

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

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Alva

7 months ago

Totally agree, grounding data makes sense here.

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Simona

7 months ago

Wait, is grounding data really a thing?

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Glennis

8 months ago

I thought it was fine-tuning?

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Erasmo

8 months ago

It's definitely grounding data!

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Katy

8 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

8 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

8 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

8 months ago

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

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Jesusita

8 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

8 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

8 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

8 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

1 year 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

12 months ago

Grounding data is essential for training AI models effectively.

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Iraida

12 months ago

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

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Elouise

1 year ago

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

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Crista

1 year 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

12 months ago

C) grounding data

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Vivan

1 year ago

B) fine-tuning

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Georgeanna

1 year ago

A) providing examples

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Brice

1 year 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

12 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

1 year ago

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

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Lemuel

1 year ago

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

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Denise

1 year 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

12 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

12 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

12 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

12 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

1 year ago

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

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Belen

1 year ago

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

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Germaine

1 year ago

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

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Luis

1 year ago

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

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Izetta

1 year ago

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

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Germaine

1 year 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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