1Z0-1127-24 EXAM QUESTIONS, PREP 1Z0-1127-24 GUIDE

1z0-1127-24 Exam Questions, Prep 1z0-1127-24 Guide

1z0-1127-24 Exam Questions, Prep 1z0-1127-24 Guide

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Oracle 1z0-1127-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Using OCI Generative AI Service: For AI Specialists, this section covers dedicated AI clusters for fine-tuning and inference. The topic also focuses on the fundamentals of OCI Generative AI service, foundational models for Generation, Summarization, and Embedding.
Topic 2
  • Building an LLM Application with OCI Generative AI Service: For AI Engineers, this section covers Retrieval Augmented Generation (RAG) concepts, vector database concepts, and semantic search concepts. It also focuses on deploying an LLM, tracing and evaluating an LLM, and building an LLM application with RAG and LangChain.
Topic 3
  • Fundamentals of Large Language Models (LLMs): For AI developers and Cloud Architects, this topic discusses LLM architectures and LLM fine-tuning. Additionally, it focuses on prompts for LLMs and fundamentals of code models.

>> 1z0-1127-24 Exam Questions <<

Quiz 2025 Oracle 1z0-1127-24 – Professional Exam Questions

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Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q13-Q18):

NEW QUESTION # 13
You create a fine-tuning dedicated AI cluster to customize a foundational model with your custom training dat a. How many unit hours arc required for fine-tuning if the cluster is active for 10 hours?

  • A. 15 unit hours
  • B. 10 unit hours
  • C. 40 unit hours
  • D. 30 unit hours

Answer: B


NEW QUESTION # 14
Given the following code: chain = prompt |11m

  • A. Which statement is true about LangChain Expression language (ICED?
  • B. LCEL is a programming language used to write documentation for LangChain.
  • C. LCEL is a legacy method for creating chains in LangChain
  • D. LCEL is a declarative and preferred way to compose chains together.

Answer: D

Explanation:
LangChain Expression Language (LCEL) is a declarative language used to compose chains together in LangChain. It allows users to define the flow and interaction of different components in a clear and concise manner. By using LCEL, developers can easily specify how prompts, models, and other elements should interact, making the process of creating and managing chains more straightforward and efficient. This method is preferred due to its readability and ease of use, compared to more imperative or programmatic approaches.
Reference
LangChain documentation on LCEL
Examples and tutorials on using LangChain Expression Language


NEW QUESTION # 15
Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

  • A. Retriever
  • B. Generator
  • C. Ranker
  • D. Encoder-decoder

Answer: C


NEW QUESTION # 16
What is the primary purpose of LangSmith Tracing?

  • A. To monitor the performance of language models
  • B. To debug issues in language model outputs
  • C. To analyze the reasoning process of language
  • D. To generate test cases for language models

Answer: C


NEW QUESTION # 17
What issue might arise from using small data sets with the Vanilla fine-tuning method in the OCI Generative AI service?

  • A. Data Leakage
  • B. Model Drift
  • C. Underfitting
  • D. Overfilling

Answer: D


NEW QUESTION # 18
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