Free Oracle 1Z0-1127-25 Exam Questions

Become Oracle Certified with updated 1Z0-1127-25 exam questions and correct answers

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Total 234 Questions | Updated On: Sep 24, 2026

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Question 1

Most relevant metric When evaluating the performance of semantic search in an LLM application built with OCI Generative AI?

A : The average time taken to retrieve documents from the vector database.

B : The number of documents retrieved for a given user query.

C : The accuracy of retrieved documents in addressing the user-s intent.

D : The similarity score between the query vector and the retrieved document vectors.

Answer: C

Question 2

How does the Retrieval-Augmented Generation (RAG) Token technique differ from RAG Sequence when generating a model’s response?

A : RAG Token retrieves relevant documents for each part of the response and constructs the answer incrementally.

B : Unlike RAG Sequence, RAG Token generates the entire response at once without considering individual parts.

C : RAG Token retrieves documents only at the beginning of the response generation and uses those for the entire content.

D : RAG Token does not use document retrieval but generates responses based on pre-existing knowledge only.

Answer: A

Question 3

What does accuracy measure in the context of fine-tuning results for a generative model?

A : The depth of the neural network layers used in the model

B : The number of predictions a model makes, regardless of whether they are correct or incorrect

C : How many predictions the model made correctly out of all the predictions in an evaluation

D : The proportion of incorrect predictions made by the model during an evaluation

Answer: C

Question 4

Multi-modal LLMs can process different data types. Which of the following combinations is NOT a typical example of multi-modal data?

A : Text and image data

B : Text and audio data

C : Text and code data

D : Text data only

Answer: D

Question 5

What is the role of temperature in the decoding process of a Large Language Model (LLM)?

A : To increase the accuracy of the most likely word in the vocabulary

B : To determine the number of words to generate in a single decoding step

C : To decide to which part of speech the next word should belong

D : To adjust the sharpness of probability distribution over vocabulary when selecting the next word

Answer: D

Page: 1 / 47

Total 234 Questions | Updated On: Sep 24, 2026

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