<strong>CHALLENGE 4 — Recovery Validation Before Hypercare Closure</strong> A full backup completed after the SAP HANA upgrade, and business reporting has remained available for several days. Recovery validation is scheduled, but the sponsor wants to close hypercare early. What is the best administration decision?
A regional utilities billing provider uses SAP HANA for meter usage analytics in an on-premises administration environment. After a planned stop and start sequence, SAP HANA cockpit shows the database as available. During post-start validation, the administrator finds that a scheduled health-check job did not run because its execution window still references the pre-maintenance calendar setting. Manual checks succeed, and the support team wants to close the activity because user dashboards are accessible.
The constraint is that the administrator must confirm routine post-start administration is restored before closure. The validation must prove scheduled execution readiness, not only manual access or database availability.
Which action best resolves the post-start validation gap?
A regional equipment rental company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The transfer completes, and the cloud target can be queried through database explorer. During validation, the administrator finds that the rehearsal workbook records the source export time and target query result, but it does not record when target monitoring and backup checks were performed relative to the import. The project lead wants approval because the query result matches expectations.
The constraint is that the migration wave must prove target administration readiness for the migrated state. The validation pattern must support later migration waves without ambiguity about whether operational checks were performed before or after import.
Which recommendation is most appropriate?
<strong>CHALLENGE 2 — Restoration Simulation Monitoring Baseline</strong> 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?
A digital publishing company operates SAP HANA for subscriber activity reporting. Users report that dashboards are available, but refresh times vary sharply during the morning reporting window. SAP HANA cockpit shows no service outage, while monitoring history shows a recurring peak in expensive statement activity from a reporting workload. The database team is asked to increase system capacity immediately because the reports are business-critical.
The constraint is that the administrator must identify the execution pattern before recommending a capacity or scheduling change. The business requires stable refresh times, but the system must remain available during investigation.
Which action best fits the observed performance evidence?