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1z0-1127-24최고패스자료 - 1z0-1127-24인증시험공부

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Oracle인증 1z0-1127-24시험은 빨리 패스해야 되는데 어디서부터 어떻게 시험준비를 시작해야 하는지 갈피를 잡을수 없는 분들은DumpTOP가 도와드립니다. DumpTOP의 Oracle인증 1z0-1127-24덤프만 공부하면 시험패스에 자신이 생겨 불안한 상태에서 벗어날수 있습니다.덤프는 시장에서 가장 최신버전이기에 최신 시험문제의 모든 시험범위와 시험유형을 커버하여Oracle인증 1z0-1127-24시험을 쉽게 패스하여 자격증을 취득하여 찬란한 미래에 더 가깝도록 도와드립니다.

Oracle 1z0-1127-24 시험요강:

주제
소개

주제 1

Fundamentals of Large Language Models (LLMs): For AI developers and Cloud Architects, this topic discusses LLM architectures and LLM fine-tuning. Additionally, it focuses on prompts for LLMs and fundamentals of code models.

주제 2

Using OCI Generative AI Service: For AI Specialists, this section covers dedicated AI clusters for fine-tuning and inference. The topic also focuses on the fundamentals of OCI Generative AI service, foundational models for Generation, Summarization, and Embedding.

주제 3

Building an LLM Application with OCI Generative AI Service: For AI Engineers, this section covers Retrieval Augmented Generation (RAG) concepts, vector database concepts, and semantic search concepts. It also focuses on deploying an LLM, tracing and evaluating an LLM, and building an LLM application with RAG and LangChain.

>> 1z0-1127-24최고패스자료 <<

1z0-1127-24최고패스자료 인증시험덤프데모

다른 방식으로 같은 목적을 이룰 수 있다는 점 아세요? 여러분께서는 어떤 방식, 어느 길을 선택하시겠습니까? 많은 분들은Oracle인증1z0-1127-24시험패스로 자기 일에서 생활에서 한층 업그레이드 되기를 바랍니다. 하지만 모두 다 알고계시는그대로Oracle인증1z0-1127-24시험은 간단하게 패스할 수 있는 시험이 아닙니다. 많은 분들이Oracle인증1z0-1127-24시험을 위하여 많은 시간과 정신력을 투자하고 있습니다. 하지만 성공하는 분들은 적습니다.

최신 Oracle Cloud Infrastructure 1z0-1127-24 무료샘플문제 (Q41-Q46):

질문 # 41
What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?

A. It com rob the randomness of the model* output, affecting its creativity.
B. It specifies a string that tells the model to stop generating more content
C. It assigns a penalty to frequently occurring tokens to reduce repetitive text.
D. It determines the maximum number of tokens the model can generate per response.

정답：B

질문 # 42
What does the RAG Sequence model do in the context of generating a response?

A. It modifies the input query before retrieving relevant documents to ensure a diverse response.
B. It retrieves a single relevant document for the entire input query and generates a response based on that alone.
C. For each input query, it retrieves a set of relevant documents and considers them together to generate a cohesive response.
D. It retrieves relevant documents only for the initial part of the query and ignores the rest.

정답：C

설명：
RAG (Retrieval-Augmented Generation) Sequence models combine retrieval-based search with LLM-generated responses, ensuring factually grounded and contextually relevant outputs.
How the RAG Sequence Model Works:
Retrieves multiple documents for an input query.
Uses all retrieved documents collectively to generate a well-informed response.
Ensures the answer is contextually aware and factually accurate.
Why Other Options Are Incorrect:
(A) is incorrect because RAG does not ignore part of the query.
(B) is incorrect because it does not rely on a single document.
(C) is incorrect because RAG does not modify the input query but focuses on retrieval and generation.
🔹 Oracle Generative AI Reference:
Oracle AI implements RAG-based architectures to enhance LLM-generated responses by retrieving and grounding responses in factual data.

질문 # 43
Given the following code: chain = prompt |11m

A. LCEL is a declarative and preferred way to compose chains together.
B. LCEL is a legacy method for creating chains in LangChain
C. LCEL is a programming language used to write documentation for LangChain.
D. Which statement is true about LangChain Expression language (ICED?

정답：A

설명：
LangChain Expression Language (LCEL) is a declarative language used to compose chains together in LangChain. It allows users to define the flow and interaction of different components in a clear and concise manner. By using LCEL, developers can easily specify how prompts, models, and other elements should interact, making the process of creating and managing chains more straightforward and efficient. This method is preferred due to its readability and ease of use, compared to more imperative or programmatic approaches.
Reference
LangChain documentation on LCEL
Examples and tutorials on using LangChain Expression Language

질문 # 44
When should you use the T-Few fine-tuning method for training a model?

A. For data sets with hundreds of thousands to millions of samples
B. For data sets with a few thousand samples or less
C. For complicated semantical undemanding improvement
D. For models that require their own hosting dedicated Al duster

정답：A

질문 # 45
What does "k-shot prompting* refer to when using Large Language Models for task-specific applications?

A. The process of training the model on k different tasks simultaneously to improve its versatility
B. Limiting the model to only k possible outcomes or answers for a given task
C. Providing the exact k words in the prompt to guide the model's response
D. Explicitly providing k examples of the intended task in the prompt to guide the models output

정답：D

설명：
K-shot prompting refers to providing the language model with k examples of the task at hand within the prompt. These examples help guide the model's understanding and output by demonstrating the desired format and approach. This technique is used to improve the model's performance on specific tasks by showing it how to handle similar situations.
Reference
Research papers on few-shot learning and prompting techniques
Technical documentation on using examples in prompts for large language models

질문 # 46
......

지금 같은 세대에 많은 분들이 IT업계에 관심을 가지고 있습니다. 이렇게 인재가 많은 사회에서 IT관련인사들은 아직도 적은 편입니다. 면접 시에도 IT인증 자격증유무를 많이들 봅니다. 때문에 IT자격증이 많은 인기를 누리고 있습니다.이런 살아가기 힘든 사회에서 이런 자격증들 또한 취득하기가 넘 어렵습니다.Oracle 1z0-1127-24인증시험 또한 아주 어려운 시험입니다. 많은 분들이 응시하지만 통과하는 분들은 아주 적습니다.

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