Oracle 1z0-1096-22 certification exam covers a range of topics related to machine learning and autonomous database. Some of the key areas covered in the exam include data preparation, feature engineering, model training, model evaluation, and model deployment. Candidates will also be tested on their ability to use Oracle tools such as Oracle Data Science, Oracle Machine Learning Notebooks, and Oracle Application Express.
Reference: https://education.oracle.com/oracle-database-foundations-novice-level-exam/pexam_1Z0-1096-22
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The Oracle 1z0-1096-22 exam covers various topics related to machine learning, such as data preparation, feature engineering, model selection, and evaluation. It also includes questions on Oracle's Autonomous Database features and capabilities, including security, administration, and performance tuning. 1z0-1096-22 exam consists of 60 multiple-choice questions and is timed for 105 minutes. Passing 1z0-1096-22 exam requires a passing score of 68%, and it is recommended that candidates have hands-on experience with Oracle Autonomous Database and machine learning technologies before attempting the exam.
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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Building and Evaluation | - Model evaluation and performance metrics - Applying machine learning algorithms in Autonomous Database |
| Topic 2: Data Preparation and Exploration | - Feature selection and data preprocessing techniques - Data loading and transformation using SQL and Oracle tools |
| Topic 3: Introduction to Oracle Machine Learning and Autonomous Database | - Oracle Autonomous Database architecture overview - Machine learning capabilities in Autonomous Database |
| Topic 4: Model Deployment and Management | - Model lifecycle management and monitoring - Deploying machine learning models in Oracle Autonomous Database |
| Topic 5: Oracle Machine Learning Notebooks | - Using OML Notebooks for data science workflows - SQL and Python integration in OML |
