Oracle 1z0-1122-26 Exam Questions : Oracle Cloud Infrastructure 2026 AI Foundations Associate

  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Sep 13, 2026
  • Q&As: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Get started with OCI AI Portfolio15%- Discuss OCI AI Services Overview
- Discuss OCI ML Services Overview
- Discuss OCI AI Infrastructure Overview
- Explain Responsible AI
Intro to DL Foundations15%- Explain Convolutional Models (CNN)
- Discuss Deep Learning Fundamentals
- Explain Sequence Models (RNN and LSTM)
Intro to AI Foundations10%- Discuss AI Basics
- Discuss AI Applications and Types of Data
- Explain AI vs ML vs DL
Intro to OCI AI Services20%- OCI Language
- OCI Vision
- OCI Document Understanding
- OCI Speech
OCI Generative AI and Oracle 23ai10%- Discuss Oracle Vector Search
- Describe OCI Generative AI Services
- Discuss Autonomous Database Select AI
Intro to Generative AI and LLMs15%- Explain LLM Fine Tuning
- Explain Prompt Engineering and Instruction Tuning
- Explain Transformers Fundamentals
- Discuss Large Language Models Fundamentals
- Discuss Generative AI Overview
Intro to ML Foundations15%- Explain Machine Learning Basics
- Discuss Unsupervised Learning Fundamentals
- Discuss Reinforcement Learning Fundamentals
- Discuss Supervised Learning Fundamentals
  • 1. Classification
    • 2. Regression

      Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

      Question #1

      Which capability is supported by Oracle Cloud Infrastructure Language service?

      • A. Detecting objects and scenes in images
      • B. Converting text into images
      • C. Translating text into speech
      • D. Analyzing text to extract structured information like sentiment or entities
      Answer: D

      Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

      Question #2

      How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

      • A. They focus on increasing the number of tokens while keeping the model size constant.
      • B. They ensure that the model size, training time, and data size are balanced for optimal results.
      • C. They prioritize larger model sizes to achieve better performance.
      • D. They disregard model size and prioritize high-quality data only.
      Answer: B
      Question #3

      What is the difference between classification and regression in Supervised Machine Learning?

      • A. Classification assigns data points to categories, whereas regression predicts continuous values.
      • B. Classification and regression both predict continuous values.
      • C. Classification and regression both assign data points to categories.
      • D. Classification predicts continuous values, whereas regression assigns data points to categories.
      Answer: A

      Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

      Question #4

      What is " in-context learning " in the realm of Large Language Models (LLMs)?

      • A. Providing a few examples of a target task via the input prompt
      • B. Modifying the behavior of a pretrained LLM permanently
      • C. Teaching a model through zero-shot learning
      • D. Training a model on a diverse range of tasks
      Answer: A

      Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

      Question #5

      Which is NOT a capability of OCI Vision ' s image analysis?

      • A. Locating and extracting text in images
      • B. Translating text in images to another language
      • C. Object detection with bounding boxes
      • D. Assigning classification labels to images
      Answer: B

      Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

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