1Z0-1127-25 無料問題集「Oracle Cloud Infrastructure 2025 Generative AI Professional」

（A）Based on the presence and frequency of the user-provided keywords

（B）By the complexity of language used in the documents

（C）Based on the number of images and videos contained in the documents

（D）According to the length of the documents

（A）They are unable to use any variables.

（B）They can only support a single variable at a time.

（C）They require a minimum of two variables to function properly.

（D）They support any number of variables, including the possibility of having none.

（A）Least-to-Most Prompting

（B）Step-Back Prompting

（C）Chain-of-Thought

（D）In-Context Learning

（A）"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."

（B）"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

（C）"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."

（A）The model ignores periods and continues generating text until it reaches the token limit.

（B）The model stops generating text after it reaches the end of the first sentence, even if the token limit is much higher.

（C）The model generates additional sentences to complete the paragraph.

（D）The model stops generating text after it reaches the end of the current paragraph.

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

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

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

（D）Increasing the temperature removes the impact of the most likely word.

（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）Explicitly providing k examples of the intended task in the prompt to guide the model's output

（D）Providing the exact k words in the prompt to guide the model's response

（A）To be used without any modification or customization

（B）As complex algorithms that require manual compilation

（C）To work only with numerical data instead of textual content

（D）As predefined recipes that guide the generation of language model prompts

（A）Assigns a penalty to tokens that have already appeared in the preceding text

（B）Specifies a string that tells the model to stop generating more content

（C）Controls the randomness of the model's output, affecting its creativity

（D）Determines the maximum number of tokens the model can generate per response