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Ace the OCI 2025 Generative AI Exam: 1Z0-1127-25
Rating: 4.4 out of 5(21 ratings)
171 students

Ace the OCI 2025 Generative AI Exam: 1Z0-1127-25

Prepare for the Oracle Cloud Infrastructure 2025 Generative AI Professional certification (1Z0-1127-25)
Created byKrishna Prasad
Last updated 10/2025
English

What you'll learn

  • Master Generative AI Concepts: Gain a deep understanding of key generative AI concepts, techniques, and algorithms used in Oracle Cloud Infrastructure.
  • Optimize and Deploy Models: Learn to optimize, fine-tune, and deploy generative AI models effectively within the OCI environment.
  • Manage OCI AI Services: Develop skills to manage and configure OCI Generative AI services, including adjusting parameters and implementing best practices.
  • Evaluate AI Model Performance: Acquire the ability to assess and improve the performance and accuracy of generative AI models using various evaluation metrics a

Included in This Course

379 questions
  • Fundamentals of Large Language Models58 questions
  • Using OCI Generative AI Service88 questions
  • Building Blocks for an LLM Application28 questions
  • Build an LLM Application using OCI Generative AI Service32 questions
  • Comprehensive Exam Prep 165 questions
  • Comprehensive Exam Prep 2108 questions

Description

Prepare for the Oracle Cloud Infrastructure 2025 Generative AI Professional certification (1Z0-1127-25) with our comprehensive practice tests. This course offers a robust collection of practice questions designed to help you master the exam objectives and build confidence. Each question is accompanied by detailed explanations, ensuring a thorough understanding of the concepts. Enroll now to enhance your preparation and significantly boost your chances of passing the certification exam with flying colors.

Our practice tests cover all the essential topics and skills, including Oracle Cloud Infrastructure services, generative AI concepts, and their practical applications. We have meticulously crafted questions that simulate the real exam environment, helping you become familiar with the format and types of questions you will encounter.

In addition to practice questions, we provide valuable tips and strategies for effective test-taking, time management, and tackling challenging questions. Our goal is to ensure that you are fully prepared and confident on exam day.

By enrolling in this course, you will gain access to a wealth of resources that will support your study process. You will also become part of a community of learners where you can discuss and share insights with others preparing for the same certification. Take the next step in your professional journey and achieve your certification goals with our comprehensive practice test course.

Course Structure

This course includes a total of 379 questions, distributed across various topics and preparatory exams.

Exam Objectives and Weighting:

20% for 1, 45% for 2 & 3, 35% for 4


  1. Fundamentals of Large Language Models (LLMs) (58 Questions)

    • Explain the fundamentals of LLMs

    • Understand LLM architectures

    • Design and use prompts for LLMs

    • Understand LLM fine-tuning

    • Understand the fundamentals of code models, multi-modal, and language agents

  2. Using OCI Generative AI Service (88 Questions)

    • Explain the fundamentals of OCI Generative AI service

    • Use pretrained foundational models for Generation, Summarization, and Embedding

    • Create dedicated AI clusters for fine-tuning and inference

    • Fine-tune base model with custom dataset

    • Create and use model endpoints for inference

    • Explore OCI Generative AI security architecture

  3. Building Blocks for an LLM Application (28 Questions)

    • Understand Retrieval Augmented Generation (RAG) concepts

    • Explain vector database concepts

    • Explain semantic search concepts

  4. Building an LLM Application with OCI Generative AI Service (32 Questions)

    • Build LangChain models, prompts, memory, and chains

    • Build an LLM application with RAG and LangChain

    • Trace and evaluate an LLM application

    • Deploy an LLM application

  5. Comprehensive Exam Prep 1 (65 Questions)

  6. Comprehensive Exam Prep 2 (108 Questions)

The objective-type questions and answers guide you through the topics sequentially, following the syllabus. After exhaustive coverage, you'll be thoroughly prepared with actual mock exams.

Additional Recommendations:

I highly recommend enrolling in the free course offered by Oracle, which includes hands-on demos and provides access to a lab environment for practical learning.

Acknowledgments:

I would like to express my sincere gratitude to my mentors at Oracle University, whose guidance has enabled me to assist other students in their learning journey.

Special Thanks To:

  • Rohit Rahi, VP, CSS OU Cloud Delivery, Oracle University

  • Ari Kobren, Research Scientist, Oracle

  • Himanshu Raj, Senior Instructor AI/ML, Oracle University

  • Hemant Gahankari, Senior Principal OCI Instructor, Oracle University

Who this course is for:

  • AI Enthusiasts and Beginners: Individuals who are new to artificial intelligence and want to build a solid foundation in generative AI using practical, hands-on learning with OCI.
  • Data Scientists and Machine Learning Engineers: Professionals looking to expand their skill set by learning how to optimize, fine-tune, and deploy generative AI models in the Oracle Cloud.
  • Cloud Practitioners and Architects: Those already familiar with cloud services who wish to specialize in generative AI and leverage OCI's powerful tools and services for advanced AI solutions.
  • Developers and IT Professionals: Technologists who want to integrate generative AI capabilities into their applications and infrastructure, enhancing their projects with cutting-edge AI functionalities.
  • Students and Academics: Learners in academic settings who are studying AI, machine learning, or cloud computing and seek practical experience with Oracle Cloud Infrastructure’s generative AI features.
  • Business Analysts and Decision Makers: Individuals responsible for strategic decision-making who want to understand the capabilities and applications of generative AI in a business context to drive innovation and efficiency.
  • Beginner Python develops curious to explore new areas