A regional specialty foods company uses SAP HANA for demand forecasting. After a backup schedule adjustment, SAP HANA cockpit shows the newest backup as successful. During resilience review, the administrator finds that the recovery checklist still selects the previous weekly backup as the starting point, while the intended recovery objective requires the most recent successful backup and its dependent log entries. A reviewer proposes approving the checklist because backup execution itself succeeded.
The constraint is that the administrator must prove recovery readiness against the intended recovery objective. The approval cannot depend only on backup success if the documented sequence starts from the wrong artifact.

• A. pprove readiness because SAP HANA cockpit confirms that the newest backup completed successfully.
• B. eep the previous weekly backup as the starting point because it is already documented in the recovery checklist.
• C. reate one additional backup so the checklist can avoid using dependent log entries.
• D. pdate the checklist to select the correct backup and dependent log sequence, then validate the recovery objective evidence.

A laboratory services company runs SAP HANA for sample throughput reporting. The database remains available, but SAP HANA cockpit shows a recurring warning for long-running statements during the evening batch reporting period. The reporting job completes, yet the next morning dashboard refresh is slower than expected. A support coordinator proposes increasing dashboard timeout values because the reports eventually finish.
The constraint is that the administrator must correct the operational cause rather than mask the symptom. The system must remain available, and any adjustment must be based on monitoring evidence from the affected execution window.
Which response best fits the monitoring evidence?

• A. estart the database after evening reporting so long-running statement history does not affect the next dashboard cycle.
• B. ncrease dashboard timeout values so users can wait longer for the morning refresh to complete.
• C. nalyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.
• D. isable the evening reporting job until dashboard refresh times return to the expected level.

A media distribution company recently adjusted a database configuration setting on its on-premises SAP HANA environment to improve background data preparation before replication to SAP HANA Cloud. The next day, overnight processing improved, but administrators notice that morning analyst sessions now experience short response spikes during a narrow usage window. System availability is normal, and memory indicators remain within target range.
A platform engineer recommends increasing CPU allocation because the analyst complaints appear during peak usage. The service owner wants the least disruptive correction that preserves the overnight gain while resolving the new daytime regression.
What is the best first step?

• A. ompare the recent configuration change against the affected workload pattern and adjust only the setting that is shifting performance away from interactive use.
• B. everse the full tuning change immediately because any daytime slowdown proves the optimization attempt failed overall.
• C. ncrease CPU resources first because a short response spike always indicates the current configuration is already correct but undersized.
• D. ove the analyst workload completely to SAP HANA Cloud because the mixed landscape already supports that target environment.

A regional public-sector records office performs a SAP HANA recovery test after updating its backup schedule. The backup monitor shows recent backups completed, but the recovery test log indicates that the selected recovery point does not match the retention window defined for the updated schedule. The administrator can still access the backup catalog, and no production outage has occurred.
The constraint is that the recovery test must prove resilience under the current backup schedule, not under a previous retention assumption. The administrator must determine whether the recovery evidence is usable for sign-off or whether the selected recovery point invalidates the test result.
What is the best next action?

• A. hange the retention window to match the recovery point used in the test log.
• B. gnore the mismatch because no production outage occurred during the exercise.
• C. ign off the recovery test because recent backups completed and the catalog remains accessible.
• D. epeat the recovery test using a recovery point aligned with the current backup schedule and update the resilience evidence after validation.