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DB Autonomous Database
The course teaches professionals to design, deploy, and manage Oracle Autonomous Database Cloud solutions, covering architecture, data loading, security, performance tuning, integration, and high‑availability best practices.
90
Minutes
55
Questions
65
Passing Score
$245
Exam Cost
Who Should Take This
Database administrators, cloud engineers, and data architects who have at least two years of experience with Oracle databases and aim to validate expertise in autonomous cloud services will benefit. They seek to deepen knowledge of security compliance, performance optimization, and seamless integration to support enterprise‑grade, highly available data platforms.
What's Covered
1
Autonomous Database Architecture
2
Data Loading and Tools
3
Security and Compliance
4
Performance and Optimization
5
Integration and High Availability
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
62 learning goals
1
Autonomous Database Architecture
2 topics
ADB Concepts
- Implement Autonomous Database provisioning with workload type (OLTP, DW, JSON, APEX), ECPU scaling, and storage allocation.
- Design Autonomous Database deployment architectures with serverless versus dedicated infrastructure and Exadata options.
- Configure Autonomous Database networking with private endpoints, access control lists, and VCN connectivity.
- Evaluate ADB workload types and deployment options to recommend the optimal configuration for application requirements.
- Configure ADB Concepts with appropriate settings and parameters for a production deployment scenario in Oracle Autonomous Database Cloud Specialist.
- Assess ADB Concepts implementations against best practices to identify gaps and recommend improvements.
- Architect ADB Concepts solutions with scalability patterns and capacity planning for long-term sustainability.
Auto-Management
- Implement Autonomous Database auto-scaling for ECPU and storage with scaling limits and monitoring configuration.
- Configure automatic indexing, automatic SQL tuning, and automatic statistics management for self-tuning behavior.
- Design always-on availability architecture with Autonomous Data Guard for automated failover and cross-region DR.
- Analyze Autonomous Database self-managing capabilities to determine when manual intervention improves performance.
- Evaluate Auto-Management alternatives and tradeoffs to recommend the optimal approach for given constraints.
- Formulate Auto-Management governance frameworks with policies, standards, and compliance monitoring.
- Explain how to troubleshoot common issues with Auto-Management including error messages and diagnostic procedures.
2
Data Loading and Tools
2 topics
Data Loading
- Implement data loading into ADB using Data Load tool, DBMS_CLOUD, and Object Storage external tables.
- Design data pipeline architectures for continuous data ingestion using GoldenGate, Data Integration, and API-based loading.
- Configure cloud storage credentials and access to OCI Object Storage, Azure Blob, and AWS S3 for cross-cloud data access.
- Evaluate data loading approaches comparing Data Load, DBMS_CLOUD, external tables, and Data Pump for different scenarios.
- Design enterprise-grade Data Loading architectures incorporating HA, DR, and security requirements.
- Apply Data Loading configuration patterns to meet specific business requirements including compliance needs.
Database Tools
- Implement Database Actions (SQL Developer Web) for SQL development, data modeling, and REST API management.
- Configure Oracle APEX on Autonomous Database for low-code application development with built-in authentication.
- Design Oracle REST Data Services (ORDS) APIs for exposing Autonomous Database data through RESTful web services.
- Analyze database tool capabilities to recommend the appropriate interface for development, administration, and integration tasks.
- Implement Database Tools following best practices for security, performance, and reliability.
- Diagnose Database Tools issues by analyzing metrics, logs, and configuration to determine root causes.
3
Security and Compliance
2 topics
ADB Security
- Architect Autonomous Database security with always-on encryption, network access control, and Data Safe integration.
- Implement database user management with IAM mapping, token-based authentication, and least-privilege access policies.
- Configure Oracle Data Safe for security assessment, activity auditing, and sensitive data discovery on ADB instances.
- Evaluate ADB security postures against compliance requirements to identify gaps and recommend hardening measures.
- Analyze ADB Security configurations to identify security vulnerabilities, bottlenecks, and optimization opportunities.
- Recommend ADB Security optimization strategies balancing performance, cost, and operational complexity.
Data Protection
- Implement ADB backup management with automatic daily backups, manual backups, and cross-region backup copies.
- Design data masking and subsetting strategies using Data Safe for creating non-production database copies.
- Configure audit policies with unified auditing for tracking privileged operations and data access on ADB.
- Analyze data protection configurations to ensure backup coverage, encryption compliance, and audit trail completeness.
- Architect Data Protection solutions with scalability patterns and capacity planning for long-term sustainability.
- Configure Data Protection with appropriate settings and parameters for a production deployment scenario in Oracle Autonomous Database Cloud Specialist.
4
Performance and Optimization
2 topics
Performance Tuning
- Design performance monitoring strategies using ADB Performance Hub, AWR, and automatic SQL tuning reports.
- Implement SQL performance analysis using execution plan inspection, SQL monitor, and real-time SQL monitoring.
- Configure workload management with consumer groups and resource rules for multi-workload ADB environments.
- Analyze ADB performance metrics to identify slow queries, resource contention, and auto-tuning effectiveness.
- Explain how to troubleshoot common issues with Performance Tuning including error messages and diagnostic procedures.
- Evaluate Performance Tuning alternatives and tradeoffs to recommend the optimal approach for given constraints.
Optimization
- Implement Autonomous Database optimizer features including auto-indexing decisions, SQL plan management, and statistics.
- Design data warehouse optimization using ADB-DW with materialized views, analytic views, and partitioning strategies.
- Configure result cache, client-side connection pooling, and session management for application performance optimization.
- Evaluate ADB cost and performance to recommend ECPU sizing, storage optimization, and workload consolidation strategies.
- Compare Optimization deployment patterns to determine the best architecture for availability and scalability needs.
- Design enterprise-grade Optimization architectures incorporating HA, DR, and security requirements.
5
Integration and High Availability
2 topics
Integration
- Architect ADB integration patterns with OCI services, Fusion applications, and third-party tools using ORDS and SDKs.
- Implement database links between ADB instances and other Oracle databases for cross-database query and data federation.
- Configure GoldenGate for real-time data replication between ADB and on-premises or other cloud databases.
- Evaluate integration architectures to select appropriate connectivity patterns for data synchronization requirements.
- Plan Integration migration and modernization strategies with phased rollout and rollback procedures.
- Implement Integration following best practices for security, performance, and reliability.
High Availability
- Design ADB high availability architectures with Autonomous Data Guard, cross-region standby, and failover automation.
- Implement Autonomous Database cloning for creating development, testing, and reporting copies from production.
- Configure refreshable clones for near-real-time copies of production data for reporting and analytics workloads.
- Analyze HA configurations to validate RTO/RPO compliance, failover procedures, and cross-region DR readiness.
- Deploy High Availability with integration to monitoring, logging, and alerting services for operational visibility.
- Analyze High Availability configurations to identify security vulnerabilities, bottlenecks, and optimization opportunities.
Scope
Included Topics
- All domains in the Oracle Autonomous Database Cloud Specialist certification exam guide.
- Core topics: Autonomous Database, Auto-Scaling, Security, Data Loading, Performance, Tools, High Availability.
- Oracle services, tools, and best practices relevant to this certification.
- Scenario-based problem solving at the professional level.
Not Covered
- Topics outside the official exam guide scope.
- Programming language specifics beyond the exam requirements.
- Specific pricing values that change over time.
- Third-party products beyond basic integration awareness.
Official Exam Page
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