Free Practice Oracle 1Z0-1127-25 Exam Questions 2025

Stay ahead with 100% Free Oracle Cloud Infrastructure 2025 Generative AI Professional 1Z0-1127-25 Dumps Practice Questions

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Total 234 Questions | Updated On: Mar 28, 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

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

A : To generate text based only on the model's internal knowledge without external data

B : To generate text using extra information obtained from an external data source

C : To store text in an external database without using it for generation

D : To retrieve text from an external source and present it without any modifications

Answer: B

Question 3

Which is NOT a built-in memory type in LangChain?

A : ConversationImageMemory

B : ConversationBufferMemory

C : ConversationSummaryMemory

D : ConversationTokenBufferMemory

Answer: A

Question 4

How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models (LLMs) fundamentally alter their responses?

A : It transforms their architecture from a neural network to a traditional database system.

B : It shifts the basis of their responses from pretrained internal knowledge to real-time data retrieval.

C : It enables them to bypass the need for pretraining on large text corpora.

D : It limits their ability to understand and generate natural language.

Answer: B

Question 5

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

Page: 1 / 47

Total 234 Questions | Updated On: Mar 28, 2025

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