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Oracle Exam 1Z0-1127-24 Topic 1 Question 25 Discussion

Actual exam question for Oracle's 1Z0-1127-24 exam
Question #: 25
Topic #: 1
[All 1Z0-1127-24 Questions]

What is the purpose of Retrieval Augmented Generation (RAG) in text generation?

Show Suggested Answer Hide Answer
Suggested Answer: D

Retrieval-Augmented Generation (RAG) combines retrieval mechanisms with text generation, allowing models to pull external knowledge before generating responses.

How RAG Works:

The model retrieves relevant documents from an external database.

Uses this retrieved information to generate factually grounded responses.

Reduces hallucinations, improving accuracy and context relevance.

Why Other Options Are Incorrect:

(A) is incorrect because RAG modifies the retrieved text by integrating it into a generated response.

(B) is incorrect because RAG retrieves and uses data, not just stores it.

(C) is incorrect because RAG relies on external knowledge, whereas LLMs alone use internal pre-trained knowledge.

Oracle Generative AI Reference:

Oracle AI applies RAG techniques to improve enterprise AI applications, enhancing fact-based text generation.


Contribute your Thoughts:

Claribel
2 days ago
D all the way! Using extra information from an external source to generate text, that's the real deal. Anything else is just plain wrong.
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Kristofer
3 days ago
Haha, option C is a good one. Generating text based only on the model's internal knowledge? Yeah, that's not what RAG is all about.
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Lacey
6 days ago
I think option D is correct, as it mentions using external data for text generation.
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Rochell
6 days ago
I think B is the answer. Storing text in an external database without using it for generation, that's the true purpose of RAG, right?
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Lino
17 days ago
I believe RAG is important for enhancing the quality of generated text.
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Leonardo
18 days ago
I agree with Dottie. It helps in generating more informative and relevant text.
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Dottie
27 days ago
I think the purpose of RAG is to use external data for text generation.
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Bambi
27 days ago
Option D seems obvious. How else would you generate text using external data? I mean, come on, it's right there in the question.
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Annice
3 days ago
RAG allows for more context and information to be included in the generated text.
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Daren
4 days ago
It's important to have access to additional information for better text generation.
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Odelia
5 days ago
Yeah, using external data for text generation makes sense.
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Valentin
15 days ago
I think option D is the correct choice.
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