Most Recent Oracle 1Z0-1127-24 Exam Questions & Answers

Prepare for the Oracle Cloud Infrastructure 2024 Generative AI Professional exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Oracle 1Z0-1127-24 exam and achieve success.

The questions for 1Z0-1127-24 were last updated on Nov 23, 2024.

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Question No. 1

Given the following code:

Prompt Template

(input_variable[''rhuman_input",'city''], template-template)

Which statement is true about Promt Template in relation to input_variables?

APromptTemplate requires a minimum of two variables to function property.

BPromptTemplate can support only a single variable M a time.

CPromptTemplate supports Any number of variable*, including the possibility of having none.

DPromptTemplate is unable to use any variables.

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Correct Answer: C

Question No. 2

Which is NOT a category of pertained foundational models available in the OCI Generative AI service?

ATranslation models

BSummarization models

CGeneration models

DEmbedding models

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Correct Answer: A

Question No. 3

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.

L 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.

2. 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.

3. To understand the impact of greenhouse gases on climate change, let's start by defining what greenhouse gases are. Next, well explore how they trap heat in the Earths atmosphere.

A1:Step-Back, 2:Chain-of-Thought, 3:Least-to-most

B1:Least-to-most, 2 Chain-of-Thought, 3:Step-Back

C1:Chain-of-Thought ,2:Step-Back, 3:Least-to most

D1:Chain-of-throught, 2: Least-to-most, 3:Step-Back

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Correct Answer: A

Question No. 4

Which statement best describes the role of encoder and decoder models in natural language processing?

AEncoder models and decoder models both convert sequence* of words into vector representations without generating new text.

BEncoder models are used only for numerical calculations, whereas decoder models are used to interpret the calculated numerical values back into text.

CEncoder models take a sequence of words and predict the next word in the sequence, whereas decoder models convert a sequence of words into a numerical representation.

DEncoder models convert a sequence of words into a vector representation, and decoder models take this vector representation to sequence of words.

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Correct Answer: D

Question No. 5

What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?

AIt com rob the randomness of the model* output, affecting its creativity.

BIt specifies a string that tells the model to stop generating more content

CIt assigns a penalty to frequently occurring tokens to reduce repetitive text.

DIt determines the maximum number of tokens the model can generate per response.

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Correct Answer: B

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