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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Get started with OCI AI Portfolio | 15% | - Explain Responsible AI - Discuss OCI ML Services Overview - Discuss OCI AI Services Overview - Discuss OCI AI Infrastructure Overview |
| Intro to OCI AI Services | 20% | - OCI Speech - OCI Language - OCI Vision - OCI Document Understanding |
| Intro to Generative AI and LLMs | 15% | - Explain Prompt Engineering and Instruction Tuning - Explain LLM Fine Tuning - Discuss Generative AI Overview - Discuss Large Language Models Fundamentals - Explain Transformers Fundamentals |
| Intro to DL Foundations | 15% | - Explain Sequence Models (RNN and LSTM) - Discuss Deep Learning Fundamentals - Explain Convolutional Models (CNN) |
| OCI Generative AI and Oracle 23ai | 10% | - Describe OCI Generative AI Services - Discuss Autonomous Database Select AI - Discuss Oracle Vector Search |
| Intro to ML Foundations | 15% | - Explain Machine Learning Basics - Discuss Unsupervised Learning Fundamentals - Discuss Supervised Learning Fundamentals
|
| Intro to AI Foundations | 10% | - Explain AI vs ML vs DL - Discuss AI Basics - Discuss AI Applications and Types of Data |
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?
- A. Natural Language Processing
- B. Computer Vision
- C. Natural Language Processing
- D. Anomaly Detection
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
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. Binary Classification
- B. Multi-Class Classification
- C. Regression
- D. Clustering
Correct Answer: B 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
How is " Prompt Engineering " different from " Fine-tuning " in the context of Large Language Models (LLMs)?
- A. Both involve retraining the model, but Prompt Engineering does it more often.
- B. Prompt Engineering modifies training data, while Fine-tuning alters the model ' s structure.
- C. Prompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.
- D. Prompt Engineering adjusts the model ' s parameters, while Fine-tuning crafts input prompts.
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
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.
Correct Answer: A 🗳️
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How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?
- A. By generating lifelike speech from documents
- B. By transcribing spoken language
- C. By automating data extraction from documents
- D. By analyzing sentiment in text documents
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
