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Oracle 1z0-1122-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

Question 1

What is the purpose of Attention Mechanism in Transformer architecture?

A. Apply a specific function to each word individually.
B. Convert tokens into numerical forms (vectors) that the model can understand.
C. Break down a sentence into smaller pieces called tokens.
D. Weigh the importance of different words within a sequence and understand the context.

Question 2

What is " in-context learning " in the realm of Large Language Models (LLMs)?

A. Teaching a model through zero-shot learning
B. Modifying the behavior of a pretrained LLM permanently
C. Training a model on a diverse range of tasks
D. Providing a few examples of a target task via the input prompt

Question 3

A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?

A. Language detection
B. Key phrase extraction
C. Sentiment analysis
D. Named entity recognition

Question 4

What is the difference between classification and regression in Supervised Machine Learning?

A. Classification and regression both assign data points to categories.
B. Classification and regression both predict continuous values.
C. Classification assigns data points to categories, whereas regression predicts continuous values.
D. Classification predicts continuous values, whereas regression assigns data points to categories.

Question 5

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. Multi-Class Classification
C. Binary Classification
D. Regression

Solutions: