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1Z0-1122-25 Verified 2026 Edition

1Z0-1122-25 Practice Test

1Z0-1122-25 earns the Oracle Cloud Infrastructure AI Foundations Associate credential, and Oracle has since released 1Z0-1122-26 as a newer version. It is open to beginners with general AI and cloud familiarity, no technical background required. Its practice questions focus on machine learning and deep learning basics, generative AI and large language models, and OCI's AI services.

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Exam Information

Official specifications published by Oracle

Exam Format

60 min
40
65%
Associate

Registration

$0 USD
Oracle MyLearn (Online, Unproctored)

Validity

18-24 months (Cloud Recertification policy)
Pass the current version of the exam; Pass a qualifying higher-level OCI certification exam

1Z0-1122-25 Exam Topics and Domains

1Z0-1122-25 is organized into 7 weighted domains. Expect to work with OCI Generative AI Service, OCI Language, OCI Speech, OCI Vision, and more.

1

Intro to AI Foundations

10%

Discuss AI Basics

Definition and History of Artificial IntelligenceTypes of Artificial Intelligence
  • Define artificial intelligence and its core concepts
  • Identify the different types of AI and their characteristics

Discuss AI Applications & Types of Data

AI Applications Across IndustriesTypes of Data in AI
  • Identify real-world AI applications across industries
  • Classify different types of data used in AI systems

Explain AI vs ML vs DL

AI, ML, DL Hierarchy and Relationships
  • Explain the relationship and differences between AI, ML, and DL
  • Identify when each approach is most appropriate
2

Intro to ML Foundations

15%

Explain Machine Learning Basics

Core ML Principles
  • Define machine learning and explain its core workflow
  • Understand the concepts of overfitting, underfitting, and bias-variance tradeoff

Discuss Supervised Learning Fundamentals (Regression & Classification)

RegressionClassification
  • Explain regression and classification as supervised learning tasks
  • Identify appropriate algorithms for regression and classification problems
  • Understand evaluation metrics for supervised learning

Discuss Unsupervised Learning Fundamentals

Unsupervised Learning Techniques
  • Explain unsupervised learning and its key techniques
  • Identify use cases for clustering and dimensionality reduction

Discuss Reinforcement Learning Fundamentals

Reinforcement Learning Core Concepts
  • Explain the reinforcement learning paradigm and its components
  • Identify real-world use cases for reinforcement learning
3

Intro to DL Foundations

15%

Discuss Deep Learning Fundamentals

Neural Network Architecture
  • Explain the architecture of neural networks
  • Understand the training process including forward and backpropagation

Explain Convolutional Models (CNN)

Convolutional Neural Networks
  • Explain the architecture and operation of CNNs
  • Identify appropriate applications for CNNs

Explain Sequence Models (RNN & LSTM)

Recurrent Neural Networks and LSTM
  • Explain RNN architecture and the vanishing gradient problem
  • Describe how LSTM networks address RNN limitations
  • Identify applications for sequence models
4

Intro to Generative AI & LLMs

15%

Discuss Generative AI Overview

Generative AI Fundamentals
  • Define generative AI and distinguish it from discriminative AI
  • Identify key generative AI applications

Discuss Large Language Models Fundamentals

LLM Core Concepts
  • Explain LLM fundamentals including pre-training and tokenization
  • Identify key LLM models and their capabilities

Explain Transformers Fundamentals

Transformer Architecture
  • Explain the transformer architecture and its key components
  • Understand why transformers are foundational to modern LLMs

Explain Prompt Engineering & Instruction Tuning

Prompt EngineeringInstruction Tuning
  • Apply prompt engineering techniques effectively
  • Explain instruction tuning and RLHF

Explain LLM Fine Tuning

Fine-Tuning Concepts
  • Explain the purpose and process of LLM fine-tuning
  • Differentiate between fine-tuning and prompt engineering
  • Understand OCI's fine-tuning capabilities
5

Get Started with OCI AI Portfolio

15%

Discuss OCI AI Services Overview

Pre-built AI Services
  • Identify and describe the OCI AI services portfolio
  • Match OCI AI services to appropriate use cases

Discuss OCI ML Services Overview

OCI Machine Learning Services
  • Describe OCI ML services and their capabilities
  • Differentiate between pre-built AI services and build-your-own ML services

Discuss OCI AI Infrastructure Overview

AI/ML Infrastructure on OCI
  • Identify OCI infrastructure components for AI/ML workloads
  • Understand the role of GPU instances and AI clusters

Explain Responsible AI

Oracle Responsible AI Principles
  • Explain Oracle's responsible AI principles: lawful, ethical, robust
  • Describe practices for fairness, transparency, and accountability in AI
6

OCI Generative AI and Oracle 23ai

10%

Describe OCI Generative AI Services

OCI Generative AI Service Features
  • Describe OCI Generative AI Service and its capabilities
  • Identify the models and use cases supported

Discuss Autonomous Database Select AI

Select AI Feature
  • Explain the Select AI feature and its purpose
  • Describe how Select AI generates SQL from natural language

Discuss Oracle Vector Search

Oracle AI Vector Search in Database 23ai
  • Explain Oracle AI Vector Search and the VECTOR data type
  • Describe how vector search enables semantic similarity and RAG
  • Differentiate between Select AI and Vector Search
7

Intro to OCI AI Services

20%

Explore OCI AI Services & related APIs (Language, Vision, Document Understanding, Speech)

OCI Language ServiceOCI Vision ServiceOCI Document Understanding ServiceOCI Speech ServiceAPI Consumption Patterns
  • Describe the capabilities of each OCI AI service: Language, Vision, Document Understanding, Speech
  • Match OCI AI services to appropriate data types and use cases
  • Understand how to consume OCI AI services via REST APIs and SDKs

How do I earn this certification?

Passing 1Z0-1122-25 earns the Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate certification. It sits in the OCI AI / Machine Learning track.

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How to study for this exam?

The most effective way to prepare for 1Z0-1122-25 is by using the PlanetCert Simulator to practice questions and review detailed explanations.

What's changed on this exam?

Current Status
ACTIVE
Updates
  • OCI Generative AI Service 2025 Multi-provider model support and Agent Hub are reflected in Domain 6 of the exam
  • Oracle Database 23ai - AI Vector Search 23ai New VECTOR data type and similarity search covered in Domain 6 • Release date: 2024-05-02
  • Autonomous Database Select AI 2025 Natural language to SQL generation covered in Domain 6
  • OCI Speech - Whisper Model Support 2025 OCI Speech now supports OpenAI Whisper model in addition to Oracle's model, covered in Domain 7

Who should take this exam?

  • Basic cloud computing awareness
  • General familiarity with AI/ML terminology
  • Interest in Oracle Cloud Infrastructure
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Common Questions

Is the Oracle 1Z0-1122-25 AI Foundations Associate exam free?
Yes, the Oracle Cloud Infrastructure 2025 AI Foundations Associate exam (1Z0-1122-25) is completely free of charge. You can register and take the exam through Oracle MyLearn at no cost. This makes it one of the most accessible entry-level AI certifications available from a major cloud provider.
How many questions are on the Oracle 1Z0-1122-25 exam and what is the passing score?
The Oracle 1Z0-1122-25 exam contains 40 multiple-choice questions with a 60-minute time limit. The passing score is 65%, which means you need to answer at least 26 out of 40 questions correctly to pass the exam.
What are the prerequisites for the Oracle OCI AI Foundations Associate certification?
There are no mandatory prerequisites for the Oracle OCI 2025 AI Foundations Associate certification (1Z0-1122-25). The exam is designed for beginners and is accessible to anyone regardless of prior technical experience. However, Oracle recommends having basic cloud computing awareness and general familiarity with AI and ML terminology for optimal preparation.
What topics are covered on the Oracle 1Z0-1122-25 exam?
The Oracle 1Z0-1122-25 exam covers 7 domains: Intro to AI Foundations (10%), Intro to ML Foundations (15%), Intro to DL Foundations (15%), Intro to Generative AI and LLMs (15%), OCI AI Portfolio (15%), OCI Generative AI and Oracle 23ai (10%), and OCI AI Services (20%). The heaviest focus is on OCI AI Services covering Language, Vision, Document Understanding, and Speech APIs.
Is the Oracle 1Z0-1122-25 exam proctored?
No, the Oracle 1Z0-1122-25 OCI 2025 AI Foundations Associate exam is unproctored. It is delivered online through Oracle MyLearn, which means you can take it from anywhere at any time without a proctor monitoring you. Your score is displayed on screen immediately upon completion.
How long is the Oracle OCI AI Foundations Associate certification valid?
Oracle Cloud Infrastructure certifications follow the Cloud Recertification policy and are typically valid for approximately 18 to 24 months. After the validity period expires, you will need to recertify by passing the current version of the exam or a qualifying higher-level OCI certification exam to maintain your active certification status.
What is the best way to prepare for the Oracle 1Z0-1122-25 exam?
The best preparation method is to complete the free 'Become a OCI AI Foundations Associate (2025)' learning path on Oracle MyLearn, which includes the official course, practice exam, and exam prep lesson. Additionally, gaining hands-on experience with OCI AI services using the Oracle Cloud Free Tier and reviewing Oracle's official documentation on AI services, Generative AI, Select AI, and Vector Search will strengthen your readiness.
What certification do you earn after passing the 1Z0-1122-25 exam?
Upon passing the 1Z0-1122-25 exam, you earn the Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate certification. This is a foundational-level credential that validates your understanding of AI and ML concepts and their practical application within Oracle Cloud Infrastructure. It can serve as a stepping stone to more advanced OCI certifications such as the OCI Data Science Professional or OCI Generative AI Professional.
What is the difference between OCI AI Services and OCI ML Services?
OCI AI Services are pre-built, ready-to-use AI capabilities that you can consume via REST APIs without building your own models. These include OCI Language, Vision, Speech, and Document Understanding. OCI ML Services, on the other hand, provide tools for building your own custom machine learning models, including OCI Data Science (managed JupyterLab notebooks), Oracle Machine Learning in Autonomous Database, and Data Labeling services. Understanding this distinction is important for the exam.
What is the difference between Select AI and Oracle Vector Search in Oracle Database 23ai?
Select AI and Oracle Vector Search are both AI features in Oracle Database 23ai but serve different purposes. Select AI converts natural language questions into SQL queries, enabling business users to query databases without writing SQL. Oracle Vector Search introduces a new VECTOR data type for storing and searching vector embeddings, enabling semantic similarity search and Retrieval Augmented Generation (RAG). Select AI focuses on natural language to SQL translation, while Vector Search focuse

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