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Dell EMC D-GAI-F-01 Exam - Topic 3 Question 19 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam

Question #: 19
Topic #: 3

[All D-GAI-F-01 Questions]

A company is considering using deep neural networks in its LLMs.

What is one of the key benefits of doing so?

AThey can handle more complicated problems

BThey require less data

CThey are cheaper to run

DThey are easier to understand

Show Suggested Answer

Suggested Answer: A

Governance in Generative AI involves several key aspects, among which transparency is crucial. Transparency in AI governance refers to the clarity and openness regarding how AI systems operate, the data they use, the decision-making processes they employ, and the way they are developed and deployed. It ensures that stakeholders understand AI processes and can trust the outcomes produced by AI systems.

The Official Dell GenAI Foundations Achievement document likely emphasizes the importance of transparency as part of ethical AI governance. It would discuss the need for clear communication about AI operations to build trust and ensure accountability1. Additionally, transparency is a foundational element in addressing ethical considerations, reducing bias, and ensuring that AI systems are used responsibly2.

User interface design (Option OB), speed of deployment (Option OC), and cost efficiency (Option OD) are important factors in the development and implementation of AI systems but are not specifically governance aspects. Governance focuses on the overarching principles and practices that guide the ethical and responsible use of AI, making transparency the key aspect in this context.

by Salena at Feb 12, 2025, 01:03 AM

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Kris

9 months ago

Easier to understand? I doubt that!

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Jutta

9 months ago

Less data needed is a big win too!

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Alline

9 months ago

Wait, are they really cheaper to run? Not so sure about that.

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Beatriz

10 months ago

Totally agree, that's a major plus.

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Maxima

10 months ago

They can handle more complicated problems!

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Glen

10 months ago

I remember we talked about how deep neural networks are complex, so I'm not sure if they are easier to understand. That seems off to me.

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Madonna

10 months ago

I feel like we practiced a question similar to this, and I think the answer was about them being cheaper to run. But I'm not completely confident.

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Jennifer

10 months ago

I'm not entirely sure, but I remember something about them requiring less data compared to traditional models. That could be a possibility.

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Lashandra

11 months ago

I think one of the main benefits is that deep neural networks can handle more complicated problems, right? That seems to be what we discussed in class.

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Samira

11 months ago

Oof, I'm a little lost on this one. The options all seem plausible, but I'm not sure which one is the most accurate. I'll have to make an educated guess and hope for the best.

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Elliot

11 months ago

Ah, this is a good one! I remember learning about how deep neural networks can handle more complex problems than traditional approaches. I think that's the key benefit they're looking for here.

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Carylon

11 months ago

Hmm, I'm a bit unsure about this one. I know deep neural networks are powerful, but I'm not sure which specific benefit is the most important. I'll have to carefully consider each option.

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Bette

11 months ago

This seems like a straightforward question about the benefits of using deep neural networks in LLMs. I'll need to think through the key advantages to identify the best answer.

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Dong

1 year ago

If they really want to save money, they should try training the neural networks on leftovers from the company cafeteria.

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Sarah

1 year ago

I heard the company is also considering using deep-fried neural networks. They're crunchier and tastier.

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Christiane

1 year ago

C: A) They can handle more complicated problems

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Annice

1 year ago

B: That's interesting, I wonder how they compare to deep-fried neural networks

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Daisy

1 year ago

A: A) They can handle more complicated problems

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Thurman

1 year ago

Easier to understand? Yeah, right. I'll stick with option A, thank you very much.

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Genevieve

1 year ago

Cheaper to run? That's music to my ears! I'm going with option C.

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Michell

1 year ago

I agree, option C is definitely appealing.

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Ty

1 year ago

Option C sounds good to me too.

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Candra

1 year ago

Option C) They are cheaper to run.

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Mireya

1 year ago

Less data? Sign me up! Option B is the clear winner in my book.

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Bea

1 year ago

Definitely, option B is the way to go for the company.

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Octavio

1 year ago

But don't forget, they also require less data which is a huge benefit.

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Hayley

1 year ago

I agree, using deep neural networks can handle more complicated problems.

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Louvenia

1 year ago

Deep neural networks are great for tackling complex problems, so option A is the way to go here.

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Chun

1 year ago

D) They are easier to understand

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Cathern

1 year ago

C) They are cheaper to run

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Arlette

1 year ago

B) They require less data

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Martha

1 year ago

A) They can handle more complicated problems

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Quentin

1 year ago

But don't they also require a lot of data to train properly?

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Shala

1 year ago

I agree with Miesha, deep neural networks are great for complex tasks.

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Miesha

1 year ago

I think the key benefit is that they can handle more complicated problems.

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