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Oracle 1z0-1096-22 Exam Syllabus Topics:

Section	Objectives
Topic 1: Oracle Machine Learning Fundamentals	- Machine Learning Concepts 1. Anomaly Detection 2. Supervised Learning 3. Classification 4. Unsupervised Learning 5. Clustering 6. Regression
Topic 2: Administration and Security	- Administration Tasks 1. Privileges and Roles 2. User Administration 3. Workspace Administration 4. Security and Access Control
Topic 3: Building and Evaluating Models	- Model Development 1. Regression Models 2. Model Evaluation 3. Clustering Models 4. Association Rules 5. Classification Models 6. Model Scoring
Topic 4: Data Preparation and Exploration	- Data Analysis 1. Feature Engineering 2. Data Transformation 3. Normalization 4. Data Visualization 5. Missing Value Treatment 6. Data Collection
Topic 5: Oracle Machine Learning Environment	- Oracle Machine Learning Components 1. Job Scheduling 2. User and Workspace Management 3. Notebook Sharing and Permissions 4. Workspaces and Templates 5. OML Notebooks
Topic 6: Oracle Machine Learning Notebooks	- Notebook Development 1. Collaboration Features 2. SQL Notebooks 3. Python Notebooks 4. Notebook Forms 5. Notebook Templates
Topic 7: AutoML and In-Database Machine Learning	- Automated Machine Learning 1. Algorithm Selection 2. AutoML Experiments 3. Feature Selection 4. Model Tuning