Free 1Z0-1127-24 Exam Questions and Answers | by Exam-Dumps.net (Page: 1)

In LangChain, which retriever search type is used to balance between relevancy and diversity?

Answer(s): D

What does a dedicated RDMA cluster network do during model fine-tuning and inference?

Answer(s): B

Which role docs a "model end point" serve in the inference workflow of the OCI Generative AI service?

Answer(s): A

Which is a distinguishing feature of "Parameter-Efficient Fine-tuning (PEFT)" as opposed to classic Tine- tuning" in Large Language Model training?

PEFT involves only a few or new parameters and uses labeled, task-specific data.
PEFT modifies all parameters and uses unlabeled, task-agnostic data.
PEFT does not modify any parameters but uses soft prompting with unlabeled data. PEFT modifies
PEFT parameters and b typically used when no training data exists.

Answer(s): A

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

Unlike RAG Sequence, RAG Token generates the entire response at once without considering individual parts.
RAG Token does not use document retrieval but generates responses based on pre-existing knowledge only.
RAG Token retrieves documents oar/at the beginning of the response generation and uses those for the entire content
RAG Token retrieves relevant documents for each part of the response and constructs the answer incrementally.

Answer(s): C

Oracle 1Z0-1127-24 Exam (page: 1)
Oracle Cloud Infrastructure 2024 Generative AI Professional
Updated on: 12-Aug-2025