An Oracle Autonomous Database 2022 Certified Professional has demonstrated the knowledge required to provision, manage, monitor, and migrate workloads to Autonomous Database, both on shared and dedicated Exadata infrastructure.
Individuals who earn this certification understand and successfully use the features, workflows, and architecture of an Autonomous Database. In addition, they are capable of using Autonomous Database tools to develop on Autonomous Database.
Review exam topics: Oracle Autonomous Database Cloud 2022 Professional
Autonomous Database Technical Overview
Describe Autonomous Database architecture, integrations, and license types
Articulate the key features of the Autonomous Database
Understand the Oracle Cloud Infrastructure
Describe the Different Autonomous Database offerings
Autonomous Database (ADB) Shared
Create Autonomous Database Shared Instances - provisioning, scaling OCPU and storage, start. stop, and cloning and moving, refreshable clones
Manage users
Monitor Autonomous Database Shared instances - events and alarms
Manage Autonomous Database Shared Backups and Restores
Autonomous Database Dedicated & Autonomous Database Cloud @ Customer
Describe ADB Dedicated and ADB Cloud@Customer resources, workflows, and functionality
Provision Dedicated ADB (ADB, Exadata, Container DB, VM Cluster for Cloud @ Customer)
Monitor Dedicated Infrastructure
Manage maintenance scheduling (patching)
Manage encryption keys
Managing and Maintaining Autonomous Database
Manage Autonomous Database instances: REST APIs, OCI CLI, moving resources
Use Access Control List (ACL) and Private End Points
Monitor ADB performance and set up service notifications
Monitor ADB auto scaling
Use services in ADB: auto indexing, data safe, compartment quotas
Use ADB connectivity: Wallets, service handles
Use Marketplace Developer image to connect to ADB, use ADW with third party tools
Configure Disaster Recovery (Data Guard) - both Shared and Dedicated
Autonomous Database Tools
Describe Autonomous Database Tools
Use Autonomous Database with Oracle Machine Learning, APEX, and SQL Developer Web (Database actions)
Use Data Load and Data Transforms
Create Business Models
Apply Data Insights
Explore Catalog
Developing on Autonomous Database
Migrating to Autonomous Database