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Oracle Exam 1Z0-184-25 Topic 6 Question 7 Discussion

Actual exam question for Oracle's 1Z0-184-25 exam
Question #: 7
Topic #: 6
[All 1Z0-184-25 Questions]

Which statement best describes the core functionality and benefit of Retrieval Augmented Generation (RAG) in Oracle Database 23ai?

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Suggested Answer: A

RAG in Oracle Database 23ai combines vector search with LLMs to enhance responses by retrieving relevant private data from the database (e.g., via VECTOR columns) and augmenting LLM prompts. This (A) improves context-awareness and precision, leveraging enterprise-specific data without retraining LLMs. Optimizing LLM performance (B) is a secondary benefit, not the core focus. Training specialized LLMs (C) is not RAG's purpose; it uses existing models. Real-time streaming (D) is possible but not the primary benefit, as RAG focuses on stored data retrieval. Oracle's RAG documentation emphasizes private data integration for better LLM outputs.


Contribute your Thoughts:

Meghann
2 months ago
Wait, is this question even real? Retrieval Augmented Generation in Oracle 23ai? I thought I was taking a test on database basics, not some futuristic AI-powered crystal ball. What's next, talking toasters in Oracle 24?
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Royce
12 days ago
D) It enables Large Language Models (LLMs) to access and process real-time data streams from diverse sources to generate the most up-to-date insights
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Shawn
18 days ago
C) It allows users to train their own specialized LLMs directly within the Oracle Database environment using their internal data, thereby reducing reliance on external AI providers
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Florencia
24 days ago
B) It primarily aims to optimize the performance and efficiency of LLMs by using advanced data retrieval techniques, thus minimizing response times and reducing computational overhead
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Myrtie
1 months ago
A) It empowers LLMs to interact with private enterprise data stored within the database, leading to more context-aware and precise responses to user queries
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Gregg
2 months ago
Option D is kind of a wild card, but I like the idea of LLMs processing real-time data streams. Maybe that's the key to staying ahead of the competition. Although, I'm not sure how that fits with the 'core functionality' part of the question.
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Meaghan
2 months ago
Hold on, option C is pretty interesting. Training our own LLMs within the database? That could be a huge time-saver and reduce our reliance on external AI providers. Hmm, tough choice.
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Olive
2 months ago
I don't know, option B seems a bit too focused on performance optimization. Isn't the real benefit of RAG the ability to leverage internal data? I'm leaning towards A.
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Margo
2 months ago
User 2: Yeah, leveraging internal data for more context-aware responses is definitely a key benefit.
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Estrella
2 months ago
User 1: I agree, option A seems to focus on the core functionality of RAG.
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Rashad
2 months ago
Wow, this question is really testing our knowledge of the latest Oracle AI features! Option A sounds like the way to go, empowering LLMs with enterprise data - that's a game-changer.
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Terrilyn
2 months ago
I'm not sure, but I think C could also be a valid option since it mentions training specialized LLMs.
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Emogene
3 months ago
I disagree, I believe the answer is D as it talks about processing real-time data streams.
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Bea
3 months ago
I think the answer is A because it mentions interacting with private enterprise data.
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