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Instant Download Oracle : 1z0-1122-26 Questions & Answers as PDF & Test Engine
- Exam Code: 1z0-1122-26
- Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
- Updated: Sep 08, 2026
- No. of Questions: 49 Questions and Answers
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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: OCI Generative AI and Oracle Database AI Capabilities | - OCI Generative AI
|
| Topic 2: Generative AI and Large Language Models | - Generative AI Fundamentals
|
| Topic 3: Artificial Intelligence and Machine Learning Fundamentals | - Deep Learning Fundamentals
|
| Topic 4: Oracle AI and Machine Learning Services | - Oracle AI Stack
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What is the difference between classification and regression in Supervised Machine Learning?
- A. Classification and regression both assign data points to categories.
- B. Classification predicts continuous values, whereas regression assigns data points to categories.
- C. Classification and regression both predict continuous values.
- D. Classification assigns data points to categories, whereas regression predicts continuous values.
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What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?
- A. It is ideal for tasks such as text-to-speech conversion.
- B. It provides a cost-effective solution for simple AI tasks.
- C. It delivers exceptional performance and scalability for complex AI tasks.
- D. It offers seamless integration with social media platforms.
Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?
- A. It converts audio files into text.
- B. It provides real-time translation of text.
- C. It recognizes and extracts text from a document.
- D. It enhances the visual quality of documents.
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You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients ' illnesses upon admission to a hospital. The goal is to classify patients into three categories - Low Risk, Moderate Risk, and High Risk - based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?
- A. Clustering
- B. Binary Classification
- C. Regression
- D. Multi-Class Classification
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Which AI Ethics principle leads to the Responsible AI requirement of transparency?
- A. Explicability
- B. Prevention of harm
- C. Respect for human autonomy
- D. Fairness
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