This lesson focuses on Instance Memory, Wait Events, Concurrency, and Resource Contention 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 SGA and PGA components, advisors, and allocation trade-offs 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 2.
Implement a controlled exercise covering wait classes, session waits, and time-model correlation and locks, latches, mutexes, enqueue contention, and blocking chains, then introduce and resolve an exception involving process, CPU, concurrency, and Resource Manager evidence while preserving before-and-after evidence.
Diagnose issues across SGA and PGA components, advisors, and allocation trade-offs, wait classes, session waits, and time-model correlation, locks, latches, mutexes, enqueue contention, and blocking chains, process, CPU, concurrency, and Resource Manager evidence 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 Instance Memory, Wait Events, Concurrency, and Resource Contention in a realistic Oracle Database 19c: Performance Management and Tuning scenario and validate the result with documented evidence.