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Oracle Cloud Infrastructure 2025 Generative AI Professional - 1Z0-1127-25 Exam Questions

Page: 1 / 10
Total 90 questions

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QUESTION NO: 1
When does a chain typically interact with memory in a run within the LangChain framework?

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

Correct Answer: C

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QUESTION NO: 2
In which scenario is soft prompting appropriate compared to other training styles?

A. When there is a need to add learnable parameters to a Large Language Model (LLM) without task-specific training B. When the model needs to be adapted to perform well in a domain on which it was not originally trained C. When the model requires continued pretraining on unlabeled data D. When there is a significant amount of labeled, task-specific data available

Correct Answer: A

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QUESTION NO: 3
In which scenario is soft prompting especially appropriate compared to other training styles?

A. When there is a need to add learnable parameters to a Large Language Model (LLM) without task-specific training. B. When there is a significant amount of labeled, task-specific data available. C. When the model requires continued pre-training on unlabeled data. D. When the model needs to be adapted to perform well in a different domain it was not originally trained on.

Correct Answer: A

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QUESTION NO: 4
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 model's output

Correct Answer: D

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QUESTION NO: 5
What does "Loss" measure in the evaluation of OCI Generative AI fine-tuned models?

A. The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model B. The percentage of incorrect predictions made by the model compared with the total number of predictions in the evaluation C. The level of incorrectness in the model's predictions, with lower values indicating better performance D. The improvement in accuracy achieved by the model during training on the user-uploaded dataset

Correct Answer: C

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QUESTION NO: 6
Which role does a "model endpoint" serve in the inference workflow of the OCI Generative AI service?

A. Evaluates the performance metrics of the custom models B. Serves as a designated point for user requests and model responses C. Updates the weights of the base model during the fine-tuning process D. Hosts the training data for fine-tuning custom models

Correct Answer: B

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QUESTION NO: 7
What does the Ranker do in a text generation system?

A. It interacts with the user to understand the query better. B. It sources information from databases to use in text generation. C. It evaluates and prioritizes the information retrieved by the Retriever. D. It generates the final text based on the user's query.

Correct Answer: C

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QUESTION NO: 8
What is the function of "Prompts" in the chatbot system?

A. They are used to initiate and guide the chatbot's responses. B. They are responsible for the underlying mechanics of the chatbot. C. They store the chatbot's linguistic knowledge. D. They handle the chatbot's memory and recall abilities.

Correct Answer: A

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QUESTION NO: 9
Why is normalization of vectors important before indexing in a hybrid search system?

A. It standardizes vector lengths for meaningful comparison using metrics such as Cosine Similarity. B. It ensures that all vectors represent keywords only. C. It converts all sparse vectors to dense vectors. D. It significantly reduces the size of the database.

Correct Answer: A

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Total 90 questions

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