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Oracle Updated 1z0-1127-25 Exam Questions and Answers by zayden

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Oracle 1z0-1127-25 Exam Overview :

Exam Name: Oracle Cloud Infrastructure 2025 Generative AI Professional
Exam Code: 1z0-1127-25 Dumps
Vendor: Oracle Certification: Oracle Cloud Infrastructure
Questions: 88 Q&A's Shared By: zayden
Question 16

Given the following prompts used with a Large Language Model, classify each as employing the Chain-of-Thought, Least-to-Most, or Step-Back prompting technique:

Options:

A.

"Calculate the total number of wheels needed for 3 cars. Cars have 4 wheels each. Then, use the total number of wheels to determine how many sets of wheels we can buy with $200 if one set (4 wheels) costs $50."

B.

"Solve a complex math problem by first identifying the formula needed, and then solve a simpler version of the problem before tackling the full question."

C.

"To understand the impact of greenhouse gases on climate change, let’s start by defining what greenhouse gases are. Next, we’ll explore how they trap heat in the Earth’s atmosphere."A. 1: Step-Back, 2: Chain-of-Thought, 3: Least-to-MostB. 1: Least-to-Most, 2: Chain-of-Thought, 3: Step-BackC. 1: Chain-of-Thought, 2: Step-Back, 3: Least-to-MostD. 1: Chain-of-Thought, 2: Least-to-Most, 3: Step-Back

Discussion
Question 17

When should you use the T-Few fine-tuning method for training a model?

Options:

A.

For complicated semantic understanding improvement

B.

For models that require their own hosting dedicated AI cluster

C.

For datasets with a few thousand samples or less

D.

For datasets with hundreds of thousands to millions of samples

Discussion
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Question 18

Accuracy in vector databases contributes to the effectiveness of Large Language Models (LLMs) by preserving a specific type of relationship. What is the nature of these relationships, and why arethey crucial for language models?

Options:

A.

Linear relationships; they simplify the modeling process

B.

Semantic relationships; crucial for understanding context and generating precise language

C.

Hierarchical relationships; important for structuring database queries

D.

Temporal relationships; necessary for predicting future linguistic trends

Discussion
Question 19

What is the purpose of Retrievers in LangChain?

Options:

A.

To train Large Language Models

B.

To retrieve relevant information from knowledge bases

C.

To break down complex tasks into smaller steps

D.

To combine multiple components into a single pipeline

Discussion
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