1z0-1127-24試験無料問題集（66題）「Oracle Cloud Infrastructure 2024 Generative AI Professional 認定」

出題：1

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. 10 unit hours

B. 15 unit hours

C. 40 unit hours

D. 30 unit hours

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

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.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

Which statement is NOT true about StreamlitChatMessageHistory?

A. StreamlitChatMessageHistory can be used in any type of LLM application.

B. A given StreamlitChatMessageHistory will NOT be persisted.

C. StreamlitChatMessageHistory will store messages in Streamlit session state at the specified key.

D. A given StreamlitChatMessageHistory will not be shared across user sessions.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

Why is normalization of vectors important before indexing in a hybrid search system?

A. It ensures that all vectors represent keywords only.

B. It significantly reduces the size of the database.

C. It standardizes vector lengths for meaningful comparison using metrics such as Cosine Similarity.

D. It converts all sparse vectors to dense vectors.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

What does "Loss" measure in the evaluation of OCI Generative AI fine-tuned models?
The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model

A. The improvement in accuracy achieved by the model during training on the user-uploaded data set

B. The level of incorrectness in the models predictions, with lower values indicating better performance

C. The percentage of incorrect predictions made by the model compared with the total number of predictions in the evaluation

D. The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

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. Continuously throughout the entire chain execution process

C. Before user input and after chain execution

D. Only after the output has been generated

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models(LLMS) fundamentally alter their responses?

A. It transforms their architecture from a neural network to a traditional database system.

B. It shifts the basis of their responses from pretrained internal knowledge to real-time data retrieval.

C. It enables them to bypass the need for pretraining on large text corpora.

D. It limits their ability to understand and generate natural language.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

1z0-1127-24試験無料問題集「Oracle Cloud Infrastructure 2024 Generative AI Professional 認定」