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100% Oracle 1z0-1122-26 Guaranteed Success With Testing Engine

Exam Code: 1z0-1122-26

Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate

Updated: Sep 15, 2026

Number: 49 Q&As with Testing Engine

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Oracle 1z0-1122-26 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle Cloud Infrastructure 2026 AI Foundations Associate
Exam Number:1Z0-1122-26
Available Languages:Japanese, English
Real Exam Qty:40
Related Certifications:Oracle Cloud Infrastructure Certified AI Foundations Associate
Exam Format:Multiple-choice questions
Certificate Validity Period:2 years
Passing Score:65%
Exam Duration:60 minutes
Exam Price:Free
Recommended Training:Become an OCI AI Foundations Associate
Exam Registration:Oracle MyLearn
Oracle Certification Exam Information
Sample Questions:Oracle 1z0-1122-26 Sample Questions
Exam Way:Online, unproctored exam delivered by Oracle University.
Pre Condition:No prerequisite certification or prior AI/ML experience is required.
Official Syllabus URL:https://education.oracle.com/oracle-cloud-infrastructure-ai-foundations-associate/pexam_1Z0-1122-26

Oracle 1z0-1122-26 Exam Syllabus Topics:

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

      Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

      Question #1
      Which feature is NOT available as part of OCI Speech capabilities?

      A. Supports multiple languages including English, Spanish, and Portuguese
      B. Uses extensive data science experience to operate
      C. Transcribes audio and video files into text
      D. Provides timestamped, grammatically accurate transcriptions


      Question #2
      How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

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


      Question #3
      You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

      A. Speech
      B. Language
      C. Document Understanding
      D. Vision


      Question #4
      Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

      A. AI is a subset of DL, which is a subset of ML.
      B. AI, ML, and DL are entirely separate fields with no overlap.
      C. ML is a subset of AI, and DL is a subset of ML.
      D. DL is a subset of AI, and ML is a subset of DL.


      Question #5
      What is the purpose of the model catalog in OCI Data Science?

      A. To store, track, share, and manage models
      B. To create and switch between different environments
      C. To provide a preinstalled open source library
      D. To deploy models as HTTP endpoints


      Solutions:

      Question #1
      Correct Answer: B
      Question #2
      Correct Answer: A
      Question #3
      Correct Answer: A
      Question #4
      Correct Answer: C
      Question #5
      Correct Answer: A

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