A manufacturing firm uses SAP HANA Cloud for analytics and an on-premises SAP HANA system for operational reporting. After a weekend parameter change, users report that a recurring operational report now completes, but much more slowly than before. Monitoring shows the database is available, CPU is elevated during the report window, and memory consumption remains within expected limits. A junior administrator proposes increasing system resources immediately.
The team lead wants the least disruptive action first because the slowdown affects only one workload pattern, not the entire database. The administrators can review runtime indicators and configuration settings through the available administration tools.
Which action is the best first step?

CHALLENGE 3 - Reporting Performance Evidence Control
The database owner wants performance improvements recorded as part of hypercare success, while the operations lead wants stabilization evidence preserved before tuning. Which decision best balances performance and evidence quality?

A regional telecom support center performs a planned parameter adjustment for SAP HANA administration. After the change, SAP HANA starts normally and the database remains available. However, an administrator reviewing active settings notices that the parameter appears in the persisted configuration record but is not reflected in the active runtime state used by current sessions. Routine application checks still succeed, so the service desk wants to close the activity.
The constraint is that the administrator must prove that the approved configuration is active, not only stored. The environment must remain available, and any follow-up action must target the configuration activation gap rather than unrelated application behavior.
Which action best resolves the configuration validation issue?

CHALLENGE 2 - Release Control Timing for Urgent Replenishment Orders
Timed execution runs show that urgent replenishment orders for short-shelf-life ingredients move fast enough in one plant only when approval handling is lighter than the common cutover model. The central support team wants early live operations to remain interpretable across all sites. What should the validation team do next?

CHALLENGE 2 - Restoration Simulation Monitoring Baseline
The UAT team has two viable actions: tune memory-related settings now to improve restoration analytics, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?