A medical device supplier is moving a reporting database from on-premises SAP HANA to SAP HANA Cloud in phases. The first migration rehearsal finishes technically, but the operations team finds that existing administration routines no longer map cleanly to the target environment. Backup scheduling assumptions, daily monitoring habits, and some lifecycle procedures were copied from the on-premises runbook without adjustment.
The migration manager wants the next rehearsal to stay on schedule and avoid rework after go-live. The constraint is that the team must reduce operational risk during transition without expanding the scope into a full process redesign.
What is the best next step for the next rehearsal cycle?

• A. Keep the existing on-premises administration routines unchanged because the successful technical migration proves operational readiness.
• B. Rebuild the entire administration model from scratch so the target landscape is treated as a completely independent platform.
• C. Add focused validation of backup, monitoring, and operational procedures in the cloud target and adjust only the runbook elements that no longer fit the new environment.
• D. Freeze the migrated target configuration and postpone all administration process updates until after productive cutover.

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?

• A. Increase capacity immediately because dashboard variability always indicates insufficient database resources.
• B. Disable the reporting workload until the next maintenance window so all expensive statements are removed from the system.
• C. Review the expensive statement pattern and workload timing, then apply a targeted scheduling or workload adjustment based on validated evidence.
• D. Restart SAP HANA during the reporting window so existing expensive statements are cleared before users refresh dashboards.

CHALLENGE 4 - Recovery Validation Before Hypercare Closure
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. Close hypercare because backup completion and availability together prove operational continuity.
• B. Replace recovery validation with additional monitoring because reporting availability is the main business indicator.
• C. Complete recovery validation before final hypercare closure, using the completed backup as supporting evidence.
• D. Close hypercare now and perform recovery validation only if the next reporting cycle has disruption.

A regional textile manufacturer is rehearsing a phased migration from SAP HANA on-premises to SAP HANA Cloud. The source export finishes, the cloud target is reachable, and a small validation query succeeds on the target. During the readiness review, the administrator notices that the migration evidence does not include confirmation that the target-side administration user can perform required monitoring and backup review tasks after import. The project sponsor wants approval because the transfer and query were successful.
The constraint is that the migration wave must prove operational administration readiness in the cloud target, not only data movement. The rehearsal must remain repeatable for later migration waves.
Which recommendation is most appropriate?

• A. Approve the migration wave because the export completed and the target query succeeded.
• B. Perform target-side administration validation with the intended cloud administration user and approve only after monitoring and backup review checks pass.
• C. Use the on-premises administration user for target checks so the team can reuse the same operational procedure after migration.
• D. Repeat the export with a larger dataset so the successful target query has stronger data coverage.