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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Oracle AI and Machine Learning Services | - Oracle AI Stack
|
| Generative AI and Large Language Models | - Generative AI Fundamentals
|
| OCI Generative AI and Oracle Database AI Capabilities | - OCI Generative AI
|
| Artificial Intelligence and Machine Learning Fundamentals | - Deep Learning Fundamentals
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
Question #1
You are training a logistic regression model to classify emails as spam or not spam. The model is currently classifying too many emails as spam. What would you do to adjust the model?
A. Increase the regularization parameter.
B. Decrease the number of iterations.
C. Decrease the weight of the feature representing the presence of certain keywords.
D. Increase the threshold value for classification.
Question #2
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 predicts continuous values, whereas regression assigns data points to categories.
C. Classification and regression both predict continuous values.
D. Classification and regression both assign data points to categories.
Question #3
What is the primary benefit of using the OCI Language service for text analysis?
A. It allows for text analysis at scale without machine learning expertise.
B. It only works with structured data.
C. It provides image processing capabilities.
D. It requires extensive machine learning expertise to use.
Question #4
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
Question #5
What is the primary purpose of reinforcement learning?
A. Learning from outcomes to make decisions
B. Identifying patterns in data
C. Making predictions from labeled data
D. Finding relationships within data sets
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: A | Question #3 Correct Answer: A | Question #4 Correct Answer: B | Question #5 Correct Answer: A |


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