1Z0-1122-26 study guide · 2026

The 7 1Z0-1122-26 domains, explained

7 areas and 26 objectives. Oracle does not publish weights for these areas, so each gets equal space here. Each guide explains what the area covers, how it is assessed and where candidates slip.

Start with Domain 1 See all domains
Questions
40
Time
60 minutes
Passing score
65%
Outline
1Z0-1122-26 exam topics (2026 release; section names from secondary sources, unverified on Oracle site)

Exam blueprint

Oracle does not publish weights, so every area is drawn the same size.

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  1. 1 Intro to AI Foundations
  2. 2 Intro to ML Foundations
  3. 3 Intro to DL Foundations
  4. 4 Intro to Generative AI & LLMs
  5. 5 Get Started with OCI AI Portfolio
  6. 6 OCI Generative AI and Oracle 23ai
  7. 7 Intro to OCI AI Services

All 7 domains

26 official objectives 36–49 hrs suggested study

  1. Domain 01

    Intro to AI Foundations

    This section introduces what artificial intelligence is, the tasks it performs on language, audio and vision data, the kinds of data AI systems consume, and how machine learning and deep learning sit inside the wider AI field.

    Inside this domain

    • Explain AI basics
    • Discuss AI applications and types of data
    • Explain AI vs ML vs DL

    Watch for General versus narrow

    Objectives
    3
    Questions est.
    ~4
    Study time est.
    3–4 hrs
  2. Domain 02

    Intro to ML Foundations

    This section covers how machine learning models learn from data, the difference between training and inference, supervised regression and classification, unsupervised clustering, and the agent, reward and policy ideas behind reinforcement learning.

    Inside this domain

    • Explain machine learning basics
    • Discuss supervised learning fundamentals (regression and classification)
    • Discuss unsupervised learning fundamentals
    • Discuss reinforcement learning fundamentals

    Watch for Logistic is classification

    Objectives
    4
    Questions est.
    ~6
    Study time est.
    5–7 hrs
  3. Domain 03

    Intro to DL Foundations

    This section explains how neural networks learn through layers, weights, activation functions and backpropagation, why convolutional networks suit images, and how recurrent networks and LSTMs process sequences such as text, speech and time series.

    Inside this domain

    • Explain deep learning basics
    • Explain convolutional models (CNN)
    • Explain sequence models (RNN and LSTM)

    Watch for CNN for everything

    Objectives
    3
    Questions est.
    ~6
    Study time est.
    5–7 hrs
  4. Domain 04

    Intro to Generative AI & LLMs

    This section covers what makes a model generative, how large language models predict tokens, how transformer attention works, how prompts and instruction tuning shape behaviour, and when fine-tuning a model is worth the cost.

    Inside this domain

    • Explain generative AI fundamentals
    • Explain LLM basics
    • Explain transformers fundamentals
    • Explain prompt engineering and instruction tuning
    • and 1 more objectives

    Watch for Temperature and accuracy

    Objectives
    5
    Questions est.
    ~6
    Study time est.
    7–9 hrs
  5. Domain 05

    Get Started with OCI AI Portfolio

    This section maps Oracle's AI stack: pretrained AI services, machine learning platforms such as OCI Data Science and Oracle Machine Learning, GPU infrastructure and cluster networking, and the principles Oracle applies to responsible AI.

    Inside this domain

    • Discuss OCI AI services
    • Discuss OCI ML services
    • Discuss OCI AI infrastructure
    • Explain responsible AI

    Watch for Build when you could consume

    Objectives
    4
    Questions est.
    ~6
    Study time est.
    5–7 hrs
  6. Domain 06

    OCI Generative AI and Oracle 23ai

    This section covers Oracle's own generative AI offerings: the OCI Generative AI service with its chat and embedding models and cluster options, Select AI for natural language queries in Autonomous AI Database, and AI Vector Search for similarity search and retrieval-augmented generation.

    Inside this domain

    • Describe OCI Generative AI services
    • Discuss Autonomous Database Select AI
    • Discuss Oracle Vector Search

    Watch for Fine-tune on demand

    Objectives
    3
    Questions est.
    ~4
    Study time est.
    5–7 hrs
  7. Domain 07

    Intro to OCI AI Services

    This section explores Oracle's pretrained AI services and their APIs: Language for text analysis and translation, Vision for images, Document Understanding for forms and receipts, and Speech for transcription, so you can choose the right service for a requirement.

    Inside this domain

    • Explore OCI AI services and related APIs: OCI Language
    • Explore OCI AI services and related APIs: OCI Vision
    • Explore OCI AI services and related APIs: OCI Document Understanding
    • Explore OCI AI services and related APIs: OCI Speech

    Watch for Sentiment from audio

    Objectives
    4
    Questions est.
    ~8
    Study time est.
    6–8 hrs

Suggested study order

No official weights are published, so follow the outline order, across about 36–49 hrs of study.

  1. 1 Intro to AI Foundations 3–4 hrs
  2. 2 Intro to ML Foundations 5–7 hrs
  3. 3 Intro to DL Foundations 5–7 hrs
  4. 4 Intro to Generative AI & LLMs 7–9 hrs
  5. 5 Get Started with OCI AI Portfolio 5–7 hrs
  6. 6 OCI Generative AI and Oracle 23ai 5–7 hrs
  7. 7 Intro to OCI AI Services 6–8 hrs

Try one

Practice questionDomain 1: Intro to AI Foundations

An insurer wants a system that reviews photographs of damaged cars and estimates which body panels need replacing. Which category of AI best describes this workload?

One trap from every domain

The answer that looks right, and the clue that gives it away.

  • Domain 1

    General versus narrow

    Clue The word 'currently deployed' or a named product.

  • Domain 2

    Logistic is classification

    Clue Yes or no, churn or stay, fraud or legitimate.

  • Domain 3

    CNN for everything

    Clue Words like sentence, sequence or over time.

  • Domain 4

    Temperature and accuracy

    Clue Words like creative versus consistent.

  • Domain 5

    Build when you could consume

    Clue Team has no data scientists or tight deadlines.

  • Domain 6

    Fine-tune on demand

    Clue Mentions of custom or fine-tuned models.

  • Domain 7

    Sentiment from audio

    Clue Both audio input and an opinion-based output.

Other Artificial Intelligence & Machine Learning certifications

Study guides for exams that overlap with 1Z0-1122-26.

Practise what you read

1Z0-1122-26 domains: common questions

How many domains are in the 1Z0-1122-26 exam?

1Z0-1122-26 has 7 domains with 26 official objectives between them: Intro to AI Foundations, Intro to ML Foundations, Intro to DL Foundations, Intro to Generative AI & LLMs, Get Started with OCI AI Portfolio, OCI Generative AI and Oracle 23ai and Intro to OCI AI Services.

What is the 1Z0-1122-26 exam format?

Questions: 40. Time allowed: 60 minutes. Passing score: 65%.

How long should I study for 1Z0-1122-26?

Our planning estimate is 36–49 hrs across all domains, split by weight. It is an editorial estimate, not an official figure, so adjust it to your experience and to how you score on practice questions.

Where should I start?

Work through the areas in order, since each builds on the one before. Use the checklist on each page to confirm you can do what it asks before moving on.

Which outline is this guide based on?

This guide follows 1Z0-1122-26 exam topics (2026 release; section names from secondary sources, unverified on Oracle site), published by Oracle. It was last reviewed in October 2026.

Domain names, weights and objectives come from Oracle's official outline (1Z0-1122-26 exam topics (2026 release; section names from secondary sources, unverified on Oracle site)). Question counts and study hours are editorial planning estimates, not official figures. Last reviewed October 2026.