Oracle 1z0-1127-24 Actual Free Exam Questions & Community Discussion

Exam Code/Number: 1z0-1127-24
Exam Name/Title: Oracle Cloud Infrastructure 2024 Generative AI Professional
Certification Provider: Oracle
Corresponding Certification: Oracle Cloud Infrastructure

Exam Questions: 66
Updated On: May 29, 2026

Question #22

Which is NOT a category of pertained foundational models available in the OCI Generative AI service?

A. Summarization models

B. Generation models

C. Embedding models

D. Translation models

Discussion 0

Correct Answer: D Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Question #23

Which statement is true about Fine-tuning and Parameter-Efficient Fine-Tuning (PEFT)?

A. Fine-tuning requires training the entire model on new data, often leading to substantial computational costs, whereas PEFT involves updating only a small subset of parameters, minimizing computational requirements and data needs.

B. PEFT requires replacing the entire model architecture with a new one designed specifically for the new task, making it significantly more data-intensive than Fine-tuning.

C. Fine-tuning and PEFT do not involve model modification; they differ only in the type of data used for training, with Fine-tuning requiring labeled data and PEFT using unlabeled data.

D. Both Fine-tuning and PEFT require the model to be trained from scratch on new data, making them equally data and computationally intensive.

Discussion 0

Correct Answer: A Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Question #24

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

A. It leads to higher latency in model inference.

B. It increases G PU memory requirements for model deployment.

C. It limits the number of fine-tuned model deployable on the same GPU cluster.

D. It enables the deployment of multiple fine-tuned models.

Discussion 0

Correct Answer: D Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Question #25

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

A. Stored in Object Storage encrypted by default

B. Stored in Key Management service

C. Stored in an unencrypted form in Object Storage

D. Shared among multiple customers for efficiency

Discussion 0

Correct Answer: A Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Question #26

How does the temperature setting in a decoding algorithm influence the probability distribution over the vocabulary?

A. Temperature has no effect on probability distribution; it only changes the speed of decoding.

B. Decreasing the temperature broadens the distribution, making less likely words more probable.

C. Increasing the temperature flattens the distribution, allowing for more varied word choices.

D. Increasing the temperature removes the impact of the most likely word.

Discussion 0

Correct Answer: C Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Question #27

What issue might arise from using small data sets with the Vanilla fine-tuning method in the OCI Generative AI service?

A. Data Leakage

B. Underfitting

C. Model Drift

D. Overfilling

Discussion 0

Correct Answer: B Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Question #28

Which is NOT a typical use case for LangSmith Evaluators?

A. Aliening code readability

B. Detecting bias or toxicity

C. Measuring coherence of generated text

D. Evaluating factual accuracy of outputs

Discussion 0

Correct Answer: A Vote an answer

Explanation: Only visible for EduDump members. You can sign-up / login (it's free).

Download Free Oracle 1z0-1127-24 Demo

Simply submit your e-mail address below to get started with our free demo of your Oracle 1z0-1127-24 exam.