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Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24)

Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24)

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  • Last UpdatedOctober 2024

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Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24) 


The Oracle Cloud Infrastructure 2024 Generative AI Professional certification is tailored for Software Developers, Machine Learning/AI Engineers, and Generative AI Professionals who possess foundational knowledge in Machine Learning and Deep Learning and familiarity with Python and Oracle Cloud Infrastructure (OCI).


Skills Acquired

The Certified individuals will demonstrate expertise in -

  • Large Language Model (LLM) architecture and proficiency in using OCI Generative AI Services.
  • Building, tracing, evaluating, and deploying LLM applications using tools such as Retrieval Augmented Generation (RAG) and LangChain.


Exam Objectives

The Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24) Exam covers the following topics - 

  • Domain 1 - Understanding Fundamentals of Large Language Models (LLMs) (20%)
  • Domain 2 - Using OCI Generative AI Service (45%)
  • Domain 3 - Building an LLM Application with OCI Generative AI Service (35%)

Exam Format and Information

Exam Name Oracle Cloud Infrastructure 2024 Generative AI Professional 
Exam Code (1Z0-1127-24) 
Exam Duration 90 mins
Exam Format Multiple Choice and Multi-Response Questions
Exam Type Professional
Number of Questions 40 Questions
Eligibility/Pre-Requisite NIL
Validity Live
Exam Language English
Pass Score 65% and above

Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24) FAQs

There are no strict eligibility criteria, but candidates should have a foundational understanding of Machine Learning, Deep Learning, Python, and Oracle Cloud Infrastructure.

  • A deep understanding of Large Language Model (LLM) architecture.
  • Proficiency in using OCI Generative AI services, including RAG and LangChain.
  • Skills to build, trace, evaluate, and deploy LLM applications.
  • Knowledge of OCI security architecture and model endpoints for inference.
  • Understanding of vector databases, semantic search, and Retrieval Augmented Generation (RAG).

The exam consists of multiple-choice questions designed to assess your knowledge and practical skills related to OCI Generative AI services and LLM applications.

The exam is ideal for Software Developers, Machine Learning/AI Engineers, and Generative AI Professionals who want to validate their skills in using Oracle Cloud Infrastructure's Generative AI services to build and deploy LLM applications.

Obtaining this certification demonstrates your expertise in OCI Generative AI services, enhances your career prospects, and validates your skills in building and deploying LLM applications, making you a valuable asset to organizations leveraging Oracle Cloud Infrastructure

Yes, Oracle recommends the "Become an OCI Generative AI Professional" course as part of the preparation. Additional hands-on experience through labs and fieldwork is also advised.

  • Fundamentals of Large Language Models (LLMs) (20%)
  • Using OCI Generative AI Service (45%)
  • Building an LLM Application with OCI Generative AI Service (35%)

The exam consists of 40 multiple-choice questions, has a duration of 90 minutes, and a passing score of 65%.

Preparation can be done through Oracle's recommended training course, "Become an OCI Generative AI Professional," and hands-on experience via Oracle training labs or fieldwork. Reviewing the exam objectives and understanding the topics covered will also help in preparation.

Candidates should have a basic understanding of Machine Learning and Deep Learning concepts, as well as familiarity with Python and Oracle Cloud Infrastructure (OCI).

The Oracle Cloud Infrastructure 2024 Generative AI Professional certification validates the skills of Software Developers, Machine Learning/AI Engineers, and Generative AI Professionals in using Oracle Cloud Infrastructure's Generative AI services to build, trace, evaluate, and deploy Large Language Model (LLM) applications.

The exam assesses your theoretical knowledge and practical skills through multiple-choice questions focused on key areas such as LLM fundamentals, OCI Generative AI services, and application building and deployment.

 

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