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

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Total 90 questions

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Question 1

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 picks the most likely word at each step of decoding. C. It selects words based on a flattened distribution over the vocabulary. D. It requires a large temperature setting to ensure diverse word selection.

Correct Answer: B

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Question 2

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

A. Providing the exact k words in the prompt to guide the model's response B. The process of training the model on k different tasks simultaneously to improve its versatility C. Limiting the model to only k possible outcomes or answers for a given task 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 3

What is the function of "Prompts" in the chatbot system?

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

Correct Answer: D

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Question 4

Which is a characteristic of T-Few fine-tuning for Large Language Models (LLMs)?

A. It does not update any weights but restructures the model architecture. B. It selectively updates only a fraction of the model's weights. C. It updates all the weights of the model uniformly. D. It increases the training time as compared to Vanilla fine-tuning.

Correct Answer: B

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Question 5

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

Correct Answer: D

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Question 6

What does a cosine distance of 0 indicate about the relationship between two embeddings?

A. They are unrelated B. They are similar in direction C. They have the same magnitude D. They are completely dissimilar

Correct Answer: B

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Question 7

What does the term "hallucination" refer to in the context of Large Language Models (LLMs)?

A. A technique used to enhance the model's performance on specific tasks B. The process by which the model visualizes and describes images in detail C. The model's ability to generate imaginative and creative content D. The phenomenon where the model generates factually incorrect information or unrelated content as if it were true

Correct Answer: D

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Question 8

What is prompt engineering in the context of Large Language Models (LLMs)?

A. Adding more layers to the neural network B. Training the model on a large dataset C. Adjusting the hyperparameters of the model D. Iteratively refining the ask to elicit a desired response

Correct Answer: D

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Question 9

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

A. "Top p" limits token selection based on the sum of their probabilities. 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" determines the maximum number of tokens per response.

Correct Answer: A

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Total 90 questions

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