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SAP C_AIG_2412 Exam - Topic 2 Question 17 Discussion

Which of the following is a benefit of using Retrieval Augmented Generation?
A) It allows LLMs to access and utilize information beyond their initial training data.
B) It enables LLMs to learn new languages without additional training.
C) It eliminates the need for fine-tuning LLMs for specific tasks.
D) It reduces the computational resources required for language modeling.

SAP C_AIG_2412 Exam - Topic 2 Question 17 Discussion

Actual exam question for SAP's C_AIG_2412 exam
Question #: 17
Topic #: 2
[All C_AIG_2412 Questions]

Which of the following is a benefit of using Retrieval Augmented Generation?

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Suggested Answer: A

by Leota at Aug 17, 2025, 08:56 AM

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Linsey
9 months ago
Wow, I didn't know A was a thing!
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Patti
9 months ago
D? Really? I find that hard to believe.
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Rosamond
9 months ago
A is definitely true!
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Brandee
10 months ago
C is a game changer for sure!
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Tamala
10 months ago
B sounds too good to be true.
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Tamie
10 months ago
I’m a bit confused about B and D; I don’t recall if RAG affects language learning or resource usage directly.
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Sabrina
10 months ago
I feel like we discussed how RAG can enhance the capabilities of LLMs, which might point to A being correct.
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Lisbeth
11 months ago
I remember something about LLMs needing fine-tuning for specific tasks, so I’m not sure about C.
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Polly
11 months ago
I think Retrieval Augmented Generation helps LLMs access more recent information, so maybe A is the right answer?
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Marg
11 months ago
I think Option A is the way to go here. Retrieval Augmented Generation is all about allowing language models to access and utilize information beyond their initial training, which is a key benefit of the technique.
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Sherita
11 months ago
I'm a bit confused by this question. The options don't seem to be clearly distinguishing the benefits of this technique. I'll need to re-read the question and options more carefully.
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Mila
11 months ago
Option A definitely stands out to me as the most likely answer. Retrieval Augmented Generation is all about expanding the knowledge base of language models, so that makes the most sense.
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Lawana
11 months ago
Hmm, I'm a bit unsure about this one. The options don't seem to be directly addressing the benefits of the technique. I'll need to think this through carefully.
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Nelida
12 months ago
I think the key here is to focus on the benefits of Retrieval Augmented Generation. Option A seems like the most relevant one, as it talks about accessing information beyond the initial training data.
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Phyliss
1 year ago
I see the point, but I still think option A) is the most important benefit overall.
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Dana
1 year ago
I believe option D) It reduces the computational resources required for language modeling is also a significant benefit.
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Lauryn
1 year ago
I agree with Rosalind, because it helps LLMs to be more versatile in generating content.
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Rosalind
1 year ago
I think the benefit is A) It allows LLMs to access and utilize information beyond their initial training data.
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