This lesson focuses on Storage, Memory, Resource Control, and Performance Evidence within Oracle AI Database: Administration Workshop Live Class.
The activity is tied to a mixed transactional and AI-assisted application with workload, access, and service-health challenges, so the configuration, development, process, or support decisions are specific to this Oracle course.
Demonstrate tablespaces, temp, undo, and I/O inside a mixed transactional and AI-assisted application with workload, access, and service-health challenges, then capture the exact configuration, command, transaction, report, or code evidence that proves the result.
Implement a controlled workshop covering SGA, PGA, sessions, and process limits and Resource Manager and workload priority, then test a failure or exception involving waits, SQL evidence, plans, and capacity.
The Storage, Memory, Resource Control, and Performance Evidence result must be reproducible, traceable to approved inputs, and consistent with the expected Oracle product behavior.
Diagnose issues in tablespaces, temp, undo, and I/O, SGA, PGA, sessions, and process limits, Resource Manager and workload priority, or waits, SQL evidence, plans, and capacity without making an unverified production change.
Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.