Oracle 1Z0-1127-25 Exam - Topic 2 Question 18 Discussion

Actual exam question for Oracle's 1Z0-1127-25 exam

Question #: 18
Topic #: 2

[All 1Z0-1127-25 Questions]

What is the main advantage of using few-shot model prompting to customize a Large Language Model (LLM)?

AIt allows the LLM to access a larger dataset.

BIt eliminates the need for any training or computational resources.

CIt provides examples in the prompt to guide the LLM to better performance with no training cost.

DIt significantly reduces the latency for each model request.

Show Suggested Answer

Suggested Answer: C

Comprehensive and Detailed In-Depth Explanation=

Few-shot prompting involves providing a few examples in the prompt to guide the LLM's behavior, leveraging its in-context learning ability without requiring retraining or additional computational resources. This makes Option C correct. Option A is false, as few-shot prompting doesn't expand the dataset. Option B overstates the case, as inference still requires resources. Option D is incorrect, as latency isn't significantly affected by few-shot prompting.

: OCI 2025 Generative AI documentation likely highlights few-shot prompting in sections on efficient customization.

by Hermila at Mar 02, 2026, 02:16 PM

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Rashad

7 hours ago

I’m a bit confused because I thought few-shot prompting might still require some computational resources, but I guess it’s less than full training.

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Dianne

5 days ago

I remember practicing a question about how few-shot prompting can guide LLMs, so I feel like option C makes the most sense to me.

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Lashandra

10 days ago

I think the main advantage is related to providing examples in the prompt, but I'm not entirely sure if it eliminates the need for training.

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