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: Aug 07, 2025

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Question 1

What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?

A : It specifies a string that tells the model to stop generating more content.

B : It assigns a penalty to frequently occurring tokens to reduce repetitive text.

C : It determines the maximum number of tokens the model can generate per response.

D : It controls the randomness of the model-s output, affecting its creativity.

Answer: A

Question 2

Which type of neural network architecture is commonly used in modern LLMs?

A : Convolutional Neural Networks (CNNs)

B : Recurrent Neural Networks (RNNs)

C : Transformer Networks

D : Generative Adversarial Networks (GANs)

Answer: C

Question 3

Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

A : Encoder-decoder

B : Ranker

C : Generator

D : Retriever

Answer: B

Question 4

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 5

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

Page: 1 / 47

Total 234 Questions | Updated On: Aug 07, 2025

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