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 #29

Which is the main characteristic of greedy decoding in the context of language model word prediction?

A. It chooses words randomly from the set of less probable candidates.

B. It requires a large temperature setting to ensure diverse word selection.

C. It selects words bated on a flattened distribution over the vocabulary.

D. It picks the most likely word email at each step of decoding.

Discussion 0

Correct Answer: D Vote an answer

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Question #30

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 determines the maximum number of tokens the model can generate per response.

C. It assigns a penalty to frequently occurring tokens to reduce repetitive text.

D. It com rob the randomness of the model* output, affecting its creativity.

Discussion 0

Correct Answer: A Vote an answer

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Question #31

When should you use the T-Few fine-tuning method for training a model?

A. For complicated semantical undemanding improvement

B. For data sets with a few thousand samples or less

C. For models that require their own hosting dedicated Al duster

D. For data sets with hundreds of thousands to millions of samples

Discussion 0

Correct Answer: B Vote an answer

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Question #32

Which is a key advantage of usingT-Few over Vanilla fine-tuning in the OCI Generative AI service?

A. Reduced model complexity

B. Foster training time and lower cost

C. Increased model interpretability

D. Enhanced generalization to unseen data

Discussion 0

Correct Answer: B Vote an answer

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Question #33

How are documents usually evaluated in the simplest form of keyword-based search?

A. By the complexity of language used in the documents

B. According to the length of the documents

C. Based on the presence and frequency of the user-provided keywords

D. Based on the number of images and videos contained in the documents

Discussion 0

Correct Answer: C Vote an answer

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Question #34

What does the RAG Sequence model do in the context of generating a response?

A. For each input query, it retrieves a set of relevant documents and considers them together to generate a cohesive response.

B. It retrieves relevant documents only for the initial part of the query and ignores the rest.

C. It modifies the input query before retrieving relevant documents to ensure a diverse response.

D. It retrieves a single relevant document for the entire input query and generates a response based on that alone.

Discussion 0

Correct Answer: A Vote an answer

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Question #35

What does "k-shot prompting* refer to when using Large Language Models for task-specific applications?

A. Limiting the model to only k possible outcomes or answers for a given task

B. Explicitly providing k examples of the intended task in the prompt to guide the models output

C. The process of training the model on k different tasks simultaneously to improve its versatility

D. Providing the exact k words in the prompt to guide the model's response

Discussion 0

Correct Answer: B Vote an answer

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