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: Dec 07, 2025

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Question 1

After fine-tuning a model in a dedicated AI cluster, which option allows you to deploy the model for real-world use cases?

A : Directly exporting the model from the cluster for local deployment.

B : Configuring the cluster for continuous inference on incoming requests.

C : Saving the fine-tuned model as a file and uploading it to a separate service.

D : Creating an endpoint within the dedicated AI cluster for model access.

Answer: D

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

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

Question 4

How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?

A : Shared among multiple customers for efficiency

B : Stored in Object Storage encrypted by default

C : Stored in Key Management service

D : Stored in an unencrypted form in Object Storage

Answer: B

Question 5

Which statement describes the difference between "Top k" and "Top p" in selecting the next token in the OCI Generative AI Generation models?

A : "Top k" and "Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.

B : "Top k" and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.

C : "Top k" selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the top tokens.

D : "Top k" considers the sum of probabilities of the top tokens, whereas "Top p" selects from the "Top k" tokens sorted by probability.

Answer: C

Page: 1 / 47

Total 234 Questions | Updated On: Dec 07, 2025

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