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: | English, Japanese |
| Exam Price: | Free |
| Related Certifications: | Oracle Cloud Infrastructure Certified AI Foundations Associate |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple-choice questions |
| Passing Score: | 65% |
| Real Exam Qty: | 40 |
| Exam Duration: | 60 minutes |
| Recommended Training: | Become an OCI AI Foundations Associate |
| Exam Registration: | Oracle Certification Exam Information Oracle MyLearn |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Intro to OCI AI Services | 20% | - OCI Document Understanding - OCI Vision - OCI Speech - OCI Language |
| Intro to DL Foundations | 15% | - Explain Convolutional Models (CNN) - Explain Sequence Models (RNN and LSTM) - Discuss Deep Learning Fundamentals |
| Get started with OCI AI Portfolio | 15% | - Discuss OCI AI Infrastructure Overview - Explain Responsible AI - Discuss OCI AI Services Overview - Discuss OCI ML Services Overview |
| Intro to AI Foundations | 10% | - Explain AI vs ML vs DL - Discuss AI Basics - Discuss AI Applications and Types of Data |
| Intro to ML Foundations | 15% | - Discuss Reinforcement Learning Fundamentals - Discuss Unsupervised Learning Fundamentals - Discuss Supervised Learning Fundamentals
|
| OCI Generative AI and Oracle 23ai | 10% | - Discuss Autonomous Database Select AI - Describe OCI Generative AI Services - Discuss Oracle Vector Search |
| Intro to Generative AI and LLMs | 15% | - Explain Transformers Fundamentals - Explain Prompt Engineering and Instruction Tuning - Explain LLM Fine Tuning - Discuss Large Language Models Fundamentals - Discuss Generative AI Overview |
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What is the key feature of Recurrent Neural Networks (RNNs)?
- A. They are primarily used for image recognition tasks.
- B. They do not have an internal state.
- C. They have a feedback loop that allows information to persist across different time steps.
- D. They process data in parallel.
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Which capability is supported by the Oracle Cloud Infrastructure Vision service?
- A. Detecting vehicle number plates to issue speed citations
- B. Analyzing historical data for unusual patterns
- C. Generating realistic images from text
- D. Detecting and preventing fraud in financial transactions
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What distinguishes Generative AI from other types of AI?
- A. Generative AI uses algorithms to predict outcomes based on past data.
- B. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
- C. Generative AI focuses on making decisions based on user interactions.
- D. Generative AI involves training models to perform tasks without human intervention.
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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. Zero-shot Prompting
- B. Prompt Engineering
- C. Reinforcement Learning
- D. Retrieval-Augmented Generation (RAG)
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Which capability is supported by Oracle Cloud Infrastructure Language service?
- A. Converting text into images
- B. Detecting objects and scenes in images
- C. Analyzing text to extract structured information like sentiment or entities
- D. Translating text into speech
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By Lester

