Oracle 1z0-1096-22 Exam Details & Actual Exam Questions

  • Exam Code/Number: 1z0-1096-22
  • Exam Name/Title: Oracle Machine Learning using Autonomous Database 2022 Specialist
  • Certification Provider: Oracle
  • Corresponding Certification: Oracle Autonomous Database
  • Exam Questions: 75
  • Updated On: Jul,11 2026
  • Certification Level: Specialist

Oracle Machine Learning using Autonomous Database 2022 Specialist Exam Questions

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Oracle 1z0-1096-22 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle Machine Learning using Autonomous Database 2022 Specialist
Exam Number:1Z0-1096-22
Exam Format:Multiple Choice, Multiple Select
Exam Duration:90 minutes
Related Certifications:Oracle Autonomous Database Cloud Specialist
Oracle Machine Learning using Autonomous Database 2021 Specialist
Real Exam Qty:55
Exam Price:USD 245
Passing Score:68%
Available Languages:English
Sample Questions:Oracle 1z0-1096-22 Sample Questions
Exam Way:Online proctored exam or test center delivery through Oracle Certification Program providers.
Pre Condition:Oracle recommends foundational knowledge of Oracle Autonomous Database, SQL, and machine learning concepts. No mandatory prerequisite certification is required.
Official Syllabus URL:https://education.oracle.com/oracle-machine-learning-using-autonomous-database-2022-specialist/pexam_1Z0-1096-22

Oracle 1z0-1096-22 Exam Syllabus Topics:

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


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