Oracle AI Autonomous Database Professional — Lesson 4: Performance, auto indexing, monitoring, cost control, high availability, and production governance

Learning Objectives

• Identify the configuration and data choices that shape Performance, auto indexing, monitoring, cost control, high availability, and production governance.
• Run normal and boundary tests and record the outcome in performance comparison and production-readiness checklist.
• Separate root cause from symptom when investigating automatic scaling increasing cost without a workload-based threshold policy.

Detailed Topics

• Performance
• Auto indexing
• Monitoring
• Cost control
• High availability
• And production governance
• Decision ownership, prerequisites, and acceptance evidence for Performance, auto indexing, monitoring, cost control, high availability, and production governance
• Relevant access, data, integration, performance, recovery, and support considerations

Instructor Demonstration

Using realistic data and role assignments, the instructor demonstrates Performance, auto indexing, monitoring, cost control, high availability, and production governance. Key checkpoints are captured in performance comparison and production-readiness checklist, with discussion of alternatives, side effects, and the conditions required for an acceptable result.

Hands-On Exercise

Complete a guided task covering Performance, auto indexing, monitoring, cost control, high availability, and production governance. After establishing a working baseline, reproduce “automatic scaling increasing cost without a workload-based threshold policy,” isolate the responsible setting or data condition, apply a reversible fix, and update performance comparison and production-readiness checklist with before-and-after proof.

1. Confirm scope, access, sample records, and acceptance criteria.
2. Perform the configuration or transaction using a controlled sequence.
3. Inspect outputs and downstream effects rather than relying on screen messages alone.
4. Close with a support note, preventive action, and reproducible validation step.

Scenario Analysis

• Clarify the business trigger, affected roles, required records, and acceptable result for Performance, auto indexing, monitoring, cost control, high availability, and production governance.
• Compare at least two implementation or correction choices and identify which evidence would distinguish them.
• Decide how performance comparison and production-readiness checklist should be reviewed, approved, retained, and handed to the next owner.

Troubleshooting Guidance

When results from Performance, auto indexing, monitoring, cost control, high availability, and production governance are unexpected, first reproduce the issue with the same role, record, date, and transaction context. Inspect performance comparison and production-readiness checklist, then test whether “automatic scaling increasing cost without a workload-based threshold policy” explains the evidence before changing configuration. Retest the corrected path and one unaffected path to guard against regression.

Validation Checklist

• Prerequisites and role permissions for Performance, auto indexing, monitoring, cost control, high availability, and production governance have been confirmed before execution.
• The result agrees with the expected values documented in performance comparison and production-readiness checklist.
• Exceptions are explained with evidence rather than hidden by manual correction.
• The final record names the approver, monitoring point, and next improvement action.

Lesson Outcome

Learners can apply Performance, auto indexing, monitoring, cost control, high availability, and production governance, explain the decisions made, and defend the result with performance comparison and production-readiness checklist.