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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
| OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
| Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What is " in-context learning " in the realm of Large Language Models (LLMs)?
- A. Modifying the behavior of a pretrained LLM permanently
- B. Teaching a model through zero-shot learning
- C. Training a model on a diverse range of tasks
- D. Providing a few examples of a target task via the input prompt
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?
- A. Generation models
- B. Embedding models
- C. Translation models
- D. Chat models
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Which capability is supported by Oracle Cloud Infrastructure Language service?
- A. Translating text into speech
- B. Detecting objects and scenes in images
- C. Analyzing text to extract structured information like sentiment or entities
- D. Converting text into images
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Which feature is NOT available as part of OCI Speech capabilities?
- A. Supports multiple languages including English, Spanish, and Portuguese
- B. Transcribes audio and video files into text
- C. Provides timestamped, grammatically accurate transcriptions
- D. Uses extensive data science experience to operate
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Which AI Ethics principle leads to the Responsible AI requirement of transparency?
- A. Explicability
- B. Respect for human autonomy
- C. Prevention of harm
- D. Fairness
