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: Apr 22, 2026

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Question 1

Which role does a "model endpoint" serve in the inference workflow of the OCI Generative AI service?

A : Hosts the training data for fine-tuning custom models

B : Updates the weights of the base model during the fine-tuning process

C : Serves as a designated point for user requests and model responses

D : Evaluates the performance metrics of the custom models

Answer: C

Question 2

How does the architecture of dedicated AI clusters contribute to minimizing GPU memory overhead for T-Few fine-tuned model inference?

A : By sharing base model weights across multiple fine-tuned models on the same group of GPUs

B : By optimizing GPU memory utilization for each model’s unique parameters

C : By allocating separate GPUs for each model instance

D : By loading the entire model into GPU memory for efficient processing

Answer: A

Question 3

Compared to traditional LLM applications, how can LangChain models potentially improve the efficiency of text generation tasks?

A : By eliminating the need for human intervention in the writing process.

B : By reducing the computational resources required for model training.

C : By allowing for parallel processing of different parts of the generation pipeline.

D : By automatically generating new and creative writing prompts on the fly.

Answer: C

Question 4

When creating a model endpoint in OCI Generative AI, what information is mandatory to specify?

A : The specific hardware configuration required for the endpoint.

B : The pre-trained model you want to use without modification.

C : The fine-tuned model you want to deploy for real-time inference.

D : The validation dataset used during the fine-tuning process.

Answer: C

Question 5

In the context of OCI Generative AI, what is the primary function of the Retriever component in Retrieval Augmented Generation (RAG)?

A : To generate creative text formats like poems or code snippets.

B : To identify relevant passages from a large corpus of text data.

C : To fine-tune a pre-trained model for a specific task using your data.

D : To evaluate the quality and coherence of the generated text.

Answer: B

Page: 1 / 47

Total 234 Questions | Updated On: Apr 22, 2026

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