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. reate one additional backup so the checklist can avoid using dependent log entries.
• C. eep the previous weekly backup as the starting point because it is already documented in the recovery checklist.
• D. pdate the checklist to select the correct backup and dependent log sequence, then validate the recovery objective evidence.

<strong>CHALLENGE 2 &#x2014; Replenishment Analytics Monitoring Baseline</strong> Inventory availability analytics took longer during the evening replenishment review. The merchandising operations lead asks for tuning before the next remediation checkpoint, but current monitoring thresholds still reflect earlier regional reporting patterns. What should the database owner do first?

• A. isable evening monitoring so the next checkpoint focuses only on whether reports complete.
• B. alidate threshold relevance and capture the current monitoring baseline before approving tuning.
• C. ove the tuning decision to SAP HANA Cloud because the reporting workload may migrate later.
• D. pply tuning immediately because replenishment reporting affects store planning decisions.

<strong>CHALLENGE 2 &#x2014; Replenishment Analytics Monitoring Baseline</strong> The database team can either tune memory-related settings now to improve evening replenishment analytics or first preserve baseline monitoring evidence and tune only if current evidence supports it. Which option is most defensible?

• A. eplace monitoring review with merchandising user feedback because the reports are business-facing.
• B. reserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
• C. eject all tuning until all store analytics reporting moves to SAP HANA Cloud.
• D. une now and use the improved replenishment runtime as the remediation success measure.

<strong>CHALLENGE 2 &#x2014; Dispatch Simulation Monitoring Baseline</strong> A performance specialist suggests applying tuning before preserving baseline evidence because the final cutover review needs better carrier exception dashboard response time. The database owner is concerned about later release comparison. Which decision is most appropriate?

• A. se SAP HANA Cloud test results to replace on-premises monitoring evidence.
• B. pply tuning first and document the original baseline as unavailable.
• C. reserve the current baseline, then document any tuning as a controlled follow-on change.
• D. ancel the final cutover review until all performance variability is eliminated.

<strong>CHALLENGE 3 &#x2014; Reporting Performance Evidence Control</strong> Morning shift-handover reports run slower than expected, and the monitoring summary uses some threshold references from the pre-upgrade reporting profile. The field-service group asks for immediate tuning before hypercare closure. What should the administrator do first?

• A. isable the older threshold references so the summary shows only current availability status.
• B. lose hypercare because the database is available and only one reporting window is affected.
• C. alidate monitoring thresholds against the current post-upgrade reporting profile before deciding on tuning.
• D. une memory and workload settings immediately because field-service reporting has business priority.