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Oracle 1z0-1122-26 Exam Syllabus Topics:

Section	Objectives
Generative AI and Large Language Models	- Generative AI Fundamentals 1. Generative AI concepts and capabilities 2. Generative AI use cases - Large Language Models 1. LLM fundamentals 2. Language models and generative AI applications
Oracle AI and Machine Learning Services	- OCI AI Services 1. Document Understanding 2. Vision 3. Speech 4. Language - OCI Machine Learning Services 1. Machine learning capabilities in OCI 2. OCI Data Science and machine learning workflows - Oracle AI Stack 1. AI data and machine learning services 2. AI infrastructure
OCI Generative AI and Oracle Database AI Capabilities	- Oracle AI Database 1. Vector database concepts 2. AI capabilities in Oracle Database - OCI Generative AI 1. OCI Generative AI services 2. Generative AI models and applications - AI Application Frameworks 1. Retrieval and AI application concepts 2. Language frameworks
Artificial Intelligence and Machine Learning Fundamentals	- Machine Learning Fundamentals 1. Machine learning models and architectures 2. Supervised and unsupervised learning - Deep Learning Fundamentals 1. Neural networks 2. Convolutional and sequence models - Artificial Intelligence Concepts 1. AI fundamentals and terminology 2. AI use cases and applications

Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

Question #1

Emma is developing a customer support chatbot for an e-commerce website. The chatbot needs to provide accurate and up-to-date return policies, which change frequently. She initially tries fine-tuning but finds that the model still uses outdated information. Which approach should Emma use instead?

A. Prompt Engineering
B. Reinforcement Learning
C. Zero-shot Prompting
D. Retrieval-Augmented Generation (RAG)

Reveal Solution Discussion 0

Correct Answer: D 🗳️