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Oracle 1z0-931 certification exam is based on the learnings, key topics, and activities encountered during oracle pieces of training and implementations.
Following are the major topics along with the sub-skills, a candidate should cover while preparing for the examination. These topics will give the candidates a clear view of which topics and skills inclusive, one should focus on for the certification.
Note: The list and details are not an all-inclusive content list. Oracle reserves the right to change and update the content (topics and sub-skills) at any point in time.
Managing and Maintaining an Autonomous Database Ability to manage users and privileges in Autonomous Database Knowledge to start, stop and scale Autonomous Database as per the requirements Ability to use rest APIs for managing Autonomous Database Ability to manage Autonomous Database using OCI command line Ability to manage and restore backups in Autonomous Database Knowledge of using SQL developer for exploring Autonomous Database
Autonomous Database Technical Overview Explain Autonomous Database and its Architectural Components Explain the integration of Autonomous Database with Oracle Cloud Platform Ability to articulate key features of Autonomous Database Explain workflow for using Autonomous Database Explain OCI Infrastructure Explain database security in Autonomous Database
Migration and Data Loading Explain the best practices and considerations for migrating to Autonomous Database Test data loading scenarios using SQL Developer Ability to use data pump for migrating to Autonomous Database Ability to use the golden gate for migrating to Autonomous Database Experience of supporting business users and data sync Ability to use DBMS_CLOUD for loading data
Reporting and Analysis using Autonomous Data Warehouse Knowledge of configuring and using 3rd party software in Autonomous Data Warehouse Knowledge of configuring and using Machine Learning algorithms with Autonomous Data Warehouse Knowledge of creating, configuring and using analytic views in Autonomous Database Knowledge of configuring and using Oracle Machine Learning notebooks with Autonomous Data Warehouse Knowledge of configuring and using Oracle Analytics Cloud with Autonomous Data Warehouse Knowledge of configuring and using Data Visualization Desktop with Autonomous Data Warehouse Knowledge of configuring and using Data Visualization Desktop and Autonomous Data Warehouse for building visualizations
Monitoring Autonomous Database Ability to monitor the performance of database Ability to use services in Autonomous Database
Provisioning and Connectivity Ability to provision Autonomous Database services Knowledge of finding, downloading and configuring database credentials Knowledge of connecting to Autonomous Database services Knowledge of navigating to OCI console
The candidate needs to go through and be proficient in every topic.
Oracle Autonomous Database Cloud 2019 Specialist
Reference: https://education.oracle.com/oracle-autonomous-database-cloud-2019-specialist/pexam_1Z0-931
| Section | Objectives |
|---|---|
| Topic 1: Migration and Data Loading | - Migrating using Data Pump and GoldenGate - Loading data with DBMS_CLOUD and Data Sync - Using SQL Developer for migration and data loading - Migration options and considerations |
| Topic 2: Monitoring Autonomous Database | - Monitoring performance and services |
| Topic 3: Provisioning and Connectivity | - Navigating Oracle Cloud Infrastructure Console - Provision an Autonomous Database service - Download credentials and connect to services |
| Topic 4: Managing and Maintaining Autonomous Database | - Use REST APIs and OCI CLI for management - Start, stop, and scale Autonomous Database - User and privilege management - Backups and restores management |
| Topic 5: Autonomous Database Technical Overview | - Key features and workflows of Autonomous Database - Architecture and components of Autonomous Database - Security features and OCI Infrastructure basics - Integration with Oracle Cloud Platform |
| Topic 6: Tools, Reporting and Analytics | - Using Oracle Machine Learning tools and notebooks with ADW - Building analytic views and visualizations - Using Oracle Analytics Cloud with ADW |
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