1z0-1127-24最新試題 & 1z0-1127-24更新

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Nov 12, 2024 - 11:37

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Oracle 1z0-1127-24 考試大綱：

主題	簡介
主題 1	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.
主題 2	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.
主題 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.

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最新的 Oracle Cloud Infrastructure 1z0-1127-24 免費考試真題 (Q36-Q41):

問題 #36
Given a block of code:
qa = Conversational Retrieval Chain, from 11m (11m, retriever-retv, memory-memory) when does a chain typically interact with memory during execution?

A. After user input but before chain execution, and again after core logic but before output
B. Before user input and after chain execution
C. Only after the output has been generated
D. Continuously throughout the entire chain execution process

答案：C

問題 #37
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 com rob the randomness of the model* output, affecting its creativity.
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.

答案：A

問題 #38
Which statement is true about the "Top p" parameter of the OCI Generative AI Generation models?

A. Top p determines the maximum number of tokens per response.
B. Top p assigns penalties to frequently occurring tokens.
C. Top p selects tokens from the "Top k' tokens sorted by probability.
D. Top p limits token selection based on the sum of their probabilities.

答案：D

問題 #39
You create a fine-tuning dedicated AI cluster to customize a foundational model with your custom training dat a. How many unit hours arc required for fine-tuning if the cluster is active for 10 hours?

A. 15 unit hours
B. 30 unit hours
C. 10 unit hours
D. 40 unit hours

答案：C

問題 #40
Which is NOT a category of pertained foundational models available in the OCI Generative AI service?

A. Translation models
B. Summarization models
C. Embedding models
D. Generation models

答案：A

問題 #41
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1z0-1127-24最新試題 & 1z0-1127-24更新