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Oracle 1Z0-1127-25

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Exam contains 72 questions

Page 7 of 12
Question 37 🔥

What does a higher number assigned to a token signify in the "Show Likelihoods" feature of the language model token generation?

Question 38 🔥

C. Translation models D. Embedding models Explanation: Comprehensive and Detailed In -Depth Explanation= OCI Generative AI typically offers pretrained models for summarization (A), generation (B), and embeddings (D), aligning with common generative tasks. Translation models (C) are less emphasized in generative AI services, often handled by specialized NLP platforms, making C the NOT category. While possible, translation isn’t a core OCI generative focus based on standard offerings. : OCI 2025 Generative AI documentation likely lists model categories under pretrained options. How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?

Question 39 🔥

Comprehensive and Detailed In -Depth Explanation= “Top p” (nucleus sampling) selects tokens whose cumulative probability exceeds a threshold (p), limiting the pool to the smallest set meeting this sum, enhancing diversity —Option C is correct. Option A confuses it with “Top k.” Option B (penalties) is unrelated. Option D (max tokens) is a different parameter. Top p balances randomness and coherence. : OCI 2025 Generative AI documentation likely explains “Top p” under sampling methods. Given the following code: chain = prompt | llm Which statement is true about LangChain Expression Language (LCEL)?

Question 40 🔥

type—image handling typically requires custom or multimodal extensions, not a built-in memory class —making A correct as NOT included. : OCI 2025 Generative AI documentation likely lists memory types under LangChain memory management. What is the primary function of the "temperature" parameter in the OCI Generative AI Generation models?

Question 41 🔥

Which role does a "model endpoint" serve in the inference workflow of the OCI Generative AI service?

Question 42 🔥

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

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