Oracle 1Z0-1096-21 certification exam is designed for professionals who want to demonstrate their expertise in machine learning using Oracle's Autonomous Database. Oracle Machine Learning using Autonomous Database 2021 Specialist certification is intended for individuals who have experience working with Oracle's machine learning technologies and want to validate their skills and knowledge in this area. 1Z0-1096-21 exam covers a wide range of topics, including data preparation, model training, model deployment, and model management.
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Earning the Oracle 1Z0-1096-21 certification demonstrates to potential employers and peers that the candidate has the skills and knowledge necessary to design, build, and manage machine learning models using an autonomous database. It is a valuable credential for professionals working in data science, artificial intelligence, and machine learning.
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Oracle 1Z0-1096-21 exam is designed to test the candidate's understanding of the key concepts and techniques used in machine learning using the Oracle Autonomous Database platform. 1Z0-1096-21 exam is composed of 60 multiple-choice questions, which must be answered within a time limit of 105 minutes. 1Z0-1096-21 exam is available in two languages – English and Japanese – and can be taken online or in-person at an authorized testing center. Successful candidates who pass the exam will be awarded the Oracle Machine Learning using Autonomous Database 2021 Specialist certification, which is recognized globally as a valuable credential for professionals in the field of data analytics.
Reference: https://education.oracle.com/oracle-machine-learning-using-autonomous-database-2021-specialist/pexam_1Z0-1096-21
Achieving the Oracle 1Z0-1096-21 certification can be a valuable asset for professionals who want to advance their careers in machine learning and data analytics. It demonstrates a high level of expertise in the field and can lead to better job opportunities, higher salaries, and more challenging projects.
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Oracle 1Z0-1096-21 Exam Syllabus Topics:
| Section | Objectives |
| OML Notebooks | - Typical data analysis workflow
- Add interactive form elements
- Create, edit and run notebooks
|
| Introduction to Oracle Machine Learning | - Overview of OML and Autonomous Database
- Access OML Home Page in Autonomous Data Warehouse
- OML architecture and components
|
| OML Administration | - Platform configuration
- User and access management
|
| Workspaces and Projects | - Create and manage workspaces
- Create and organize projects
- Set workspace permissions
|
| Templates and Collaboration | - Share notebooks via templates
- Types of templates: personal, shared, example
|
| Jobs and Scheduling | - Create and schedule notebook jobs
- Monitor execution and view logs
|
| AutoML and Model Development | - Build, evaluate and deploy models
- AutoML UI functionality
- OML4Py integration
|
| SQL and PL/SQL in OML | - Understand SQL command restrictions
- Run, import and export SQL scripts
- Use SQL Script Scratchpad
|