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SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. A regional online learning provider runs SAP HANA for learner activity analytics. SAP HANA cockpit shows the database as available, but a troubleshooting review shows that several slow report executions were recorded without related workload details in the monitoring history. The alert log exists, but the evidence needed to identify the statement pattern is incomplete for the affected interval. A support analyst suggests increasing timeout values because users eventually received their reports.
The constraint is that the administrator must restore diagnostic visibility before changing report or capacity settings. The next analysis window must be monitored with enough detail to connect performance symptoms to workload evidence.
Which action best addresses the troubleshooting evidence gap?

A) Enable or correct the required workload-detail collection, reproduce or monitor the affected interval, and validate diagnostic evidence.
B) Restart SAP HANA so the monitoring history begins collecting new entries from a clean runtime state.
C) Increase report timeout values so delayed executions can complete without generating more support tickets.
D) Close the troubleshooting review because the alert log proves that performance monitoring detected the issue.

2. A regional furniture manufacturer uses SAP HANA for production-demand analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays a short CPU spike during the planning run while the workload log shows a longer query wait interval. Users reported slow report refreshes at the same time. A coordinator suggests raising the CPU alert threshold because the spike was brief.
The constraint is that the administrator must determine whether the user delay is related to workload wait behavior before changing monitoring thresholds. The next planning run must remain observable with evidence that can support troubleshooting.
Which action best supports the troubleshooting decision?

A) Ignore the workload wait interval because SAP HANA cockpit did not show a database outage.
B) Raise the CPU alert threshold because the observed spike was brief and the database remained available.
C) Restart the database before the next planning run so the workload log starts from a clean state.
D) Correlate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.

3. A regional food processing company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The source export completes, and the cloud target is reachable. During validation, the administrator sees that the source database continued receiving administrative test updates after the export timestamp, while the target checks are being compared against the current source state. The project lead wants approval because the cloud target can be queried successfully.
The constraint is that the migration rehearsal must prove the transferred state against the correct source point. The team must support phased modernization without confusing post-export source changes with migration failure.
Which action should the administrator recommend?

A) Repeat the export immediately without recording the source point because a fresh transfer removes the comparison issue.
B) Treat the validation mismatch as proof that SAP HANA Cloud is not ready for this migration wave.
C) Approve the rehearsal because the SAP HANA Cloud target is reachable and can be queried.
D) Validate the target against the recorded export point, document post-export source changes separately, and rerun comparison using the correct baseline.

4. A regional vehicle leasing company is updating its SAP HANA administration evidence model for a mixed landscape. The on-premises database supports active reporting, while an SAP HANA Cloud environment is used for migration rehearsal. During review, the administrator finds that the same readiness label is applied to architecture notes, active workload checks, and cloud rehearsal evidence. SAP HANA cockpit confirms the on-premises database is available, and SAP HANA Cloud Central confirms the cloud environment is running.
The constraint is that the administrator must avoid using one readiness label for different architectural responsibilities. The handover must show which evidence belongs to active operation, which belongs to cloud readiness, and which belongs to migration preparation.
Which action best strengthens the administration evidence model?

A) Approve cloud readiness based on SAP HANA Cloud Central availability and defer architectural evidence mapping.
B) Keep one readiness label because both environments are part of the same SAP HANA administration scope.
C) Separate evidence categories by active operation, cloud environment readiness, and migration preparation before approving handover.
D) Use only the on-premises evidence because it supports the current active reporting workload.

5. A regional consumer electronics repair company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The migration tool completes the transfer, and database explorer confirms that representative queries return expected values on the cloud target. During validation, the administrator sees that the source system was monitored during export, but the cloud target was not included in the routine backup validation checklist after import. The project lead wants approval because data access was confirmed.
The constraint is that the migration wave must prove the cloud target can be operated after import. The approval evidence must include resilience readiness for the migrated state, not only query validation.
Which recommendation is most appropriate?

A) Repeat the full transfer because missing target backup validation proves the migrated data was not imported correctly.
B) Add the cloud target to the post-import backup validation checklist, run the validation for the migrated state, and approve only after evidence is recorded.
C) Approve the rehearsal because representative cloud queries returned expected values after the transfer.
D) Defer cloud backup validation until production cutover because the rehearsal already confirmed target query access.

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