This lesson focuses on SQL Tuning, Plans, Advisors, Change Control, and Capacity Improvement within Oracle Database 19c: Performance Management and Tuning.
The activity is tied to an order-processing workload whose response time degrades during peak volume and requires evidence-led diagnosis, so the implementation, analysis, administration, or support decisions are specific to this course.
Demonstrate execution plans, cardinality, join methods, and access paths within an order-processing workload whose response time degrades during peak volume and requires evidence-led diagnosis, then capture the exact configuration, command, transaction, report, model, query, code, or process evidence that proves the result for lesson 4.
Implement a controlled exercise covering statistics, indexes, SQL rewrites, and bind behavior and SQL Tuning Advisor, SQL profiles, and plan management awareness, then introduce and resolve an exception involving load validation, rollback criteria, monitoring thresholds, and capacity roadmap while preserving before-and-after evidence.
Diagnose issues across execution plans, cardinality, join methods, and access paths, statistics, indexes, SQL rewrites, and bind behavior, SQL Tuning Advisor, SQL profiles, and plan management awareness, load validation, rollback criteria, monitoring thresholds, and capacity roadmap without making an unverified production change. Separate symptoms from causes, gather evidence, test the smallest reversible correction, rerun validation, and record preventive action.
Learners can apply SQL Tuning, Plans, Advisors, Change Control, and Capacity Improvement in a realistic Oracle Database 19c: Performance Management and Tuning scenario and validate the result with documented evidence.