Oracle AI Database: High Availability New Features Live Class — Lesson 1: High availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment

Learning Objectives

• Map the roles, prerequisites, data, dependencies, and expected outcome for high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment.
• Build a controlled high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment workflow and record evidence at each decision point.
• Evaluate the result against correctness, security, recovery, performance, and support criteria.

Detailed Topics

• High availability architecture
• failure domains
• service objectives
• RAC foundations
• Data Guard foundations
• new feature assessment
• Ownership, prerequisites, data, and acceptance criteria for high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment
• Security, control, integration, performance, recovery, compliance, and support implications

Instructor Demonstration

Demonstrate high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment within a highly available Oracle AI Database service assessed and modernized using current resilience, failover, and application-continuity capabilities. Use representative data and capture availability architecture map so another practitioner can reproduce and verify the result.

Hands-On Exercise

Complete a controlled activity focused on high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment. Introduce a realistic case of single point of failure, isolate the cause, apply a reversible correction, and rerun the acceptance checks.

1. Record the requirement, environment, identities, dependencies, data, controls, and expected result.
2. Perform the workflow and capture course-specific evidence before and after each material change.
3. Test normal, boundary, failure, security, reconciliation, recovery, and operational conditions.
4. Document the root cause, correction, rollback, owner, support action, and next improvement priority.

Scenario Analysis

• Establish the current state, desired state, constraints, owners, and acceptable service impact.
• Compare implementation choices for high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment and their rollback consequences.
• Define acceptance evidence based on availability architecture map, then assign the next improvement owner.

Troubleshooting Guidance

When high availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment does not produce the expected result, confirm scope, effective dates, identities, data context, dependencies, and recent changes. Review availability architecture map before modifying configuration or data. Test one reversible hypothesis at a time, verify recovery, and confirm that the fix does not create a new control, security, performance, compliance, or integration defect.

Validation Checklist

• Prerequisites, ownership, data context, settings, and expected outcomes are documented.
• The result is reproducible and supported by availability architecture map.
• Security, controls, data quality, integration, performance, recovery, compliance, and support conditions are reviewed.
• Exceptions, corrective action, rollback, approvals, monitoring, and handover are recorded.

Lesson Outcome

Learners can apply High availability architecture, failure domains, service objectives, RAC foundations, Data Guard foundations, new feature assessment in a realistic Oracle AI Database: High Availability New Features Live Class situation and defend the result with course-specific evidence.