1Z0-1110-23 Retired: What Replaced It and What Carries Over

Historical 1Z0-1110-23 Scope

The Oracle Cloud Infrastructure 2023 Generative AI Professional exam covered large language models and OCI Generative AI service implementation. This exam, certified by Oracle, is now retired. Candidates seeking professional certification in this field must now prepare for and sit for the successor exam, 1Z0-1110-26, which serves as the current path for demonstrating proficiency in Oracle generative AI technologies and cloud infrastructure implementations for all interested professionals.

Who 1Z0-1110-23 Was For

This certification path is intended for cloud architects, data scientists, and AI engineers. Candidates should possess practical experience building, deploying, and governing generative AI applications within the Oracle Cloud Infrastructure environment to succeed in the current 1Z0-1110-26 exam.

Skills You Should Be Ready to Demonstrate

• Large language model fundamentals
• OCI Generative AI service management
• LLM application development
• AI application evaluation
• RAG application construction

How to Reuse Your Preparation

Focus your preparation on the 1Z0-1110-26 exam objectives. Concepts regarding LLM architecture, OCI service integration, and RAG workflows remain relevant. Review the official OCI documentation for updates on agentic applications, vector stores, and enterprise governance controls. Use the OCI playground and CLI tools to gain hands-on experience, as these practical skills are required for the current certification path. Ensure you understand the core service features and documentation.

Historical Domain Guide

Fundamentals of Large Language Models: Historical Scope

This domain covers the core concepts, operational mechanics, and theoretical foundations of large language models, ensuring candidates understand the underlying principles required for effective deployment within the Oracle Cloud Infrastructure environment and broader enterprise AI systems.

• LLM architecture
• Text generation principles

OCI Generative AI Service: Historical Scope

This domain focuses on the specific features, configuration requirements, and management capabilities of the OCI Generative AI service, providing candidates with the knowledge necessary to deploy and maintain models effectively within the Oracle cloud ecosystem.

• Service configuration
• Model deployment

Build an LLM Application using OCI Generative AI: Historical Scope

This domain addresses the development of applications using OCI Generative AI capabilities, focusing on API integration and the practical steps required to build scalable solutions that leverage Oracle's advanced artificial intelligence and machine learning infrastructure.

• API integration
• Application building

Evaluate LLM Applications: Historical Scope

This domain covers the methods for assessing the performance, accuracy, and output quality of LLM applications, ensuring that candidates can implement testing and performance metrics to validate their AI solutions in production environments.

• Application testing
• Performance metrics

Build a RAG Application using OCI Generative AI: Historical Scope

This domain focuses on building retrieval-augmented generation applications within OCI, covering the architecture and knowledge base integration necessary to create sophisticated AI systems that retrieve and process external data for improved model response accuracy.

• RAG architecture
• Knowledge base integration