최신 1Z0-1127-25 무료덤프 - Oracle Cloud Infrastructure 2025 Generative AI Professional

문제1

When does a chain typically interact with memory in a run within the LangChain framework?

A. Only after the output has been generated

B. After user input but before chain execution, and again after core logic but before output

C. Before user input and after chain execution

D. Continuously throughout the entire chain execution process

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제2

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 selects words based on a flattened distribution over the vocabulary.

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

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

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제3

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

A. "Top p" assigns penalties to frequently occurring tokens.

B. "Top p" selects tokens from the "Top k" tokens sorted by probability.

C. "Top p" determines the maximum number of tokens per response.

D. "Top p" limits token selection based on the sum of their probabilities.

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제4

Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

A. Retriever

B. Ranker

C. Encoder-Decoder

D. Generator

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제5

How are chains traditionally created in LangChain?

A. Declaratively, with no coding required

B. By using machine learning algorithms

C. Exclusively through third-party software integrations

D. Using Python classes, such as LLMChain and others

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제6

Which is NOT a built-in memory type in LangChain?

A. ConversationTokenBufferMemory

B. ConversationBufferMemory

C. ConversationSummaryMemory

D. ConversationImageMemory

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제7

Which statement describes the difference between "Top k" and "Top p" in selecting the next token in the OCI Generative AI Generation models?

A. "Top k" and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.

B. "Top k" selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the top tokens.

C. "Top k" considers the sum of probabilities of the top tokens, whereas "Top p" selects from the "Top k" tokens sorted by probability.

D. "Top k" and "Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제8

Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

A. Retriever

B. Ranker

C. Encoder-Decoder

D. Generator

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제9

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

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

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

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

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

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

최신 1Z0-1127-25 무료덤프 - Oracle Cloud Infrastructure 2025 Generative AI Professional

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