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SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. CHALLENGE 2 - Dispatch Simulation Monitoring Baseline
Overnight dispatch simulation reports showed variable response time, and the transportation operations lead requests tuning before the final readiness review. The monitoring baseline has not been fully captured, and some thresholds still reflect the pre-cutover reporting pattern. What should the database owner do first?

A) Capture the current monitoring baseline and validate threshold relevance before tuning.
B) Apply tuning immediately because dispatch exception reporting affects shipping-cycle readiness.
C) Move the tuning decision to SAP HANA Cloud because future analytics may migrate there.
D) Disable dispatch simulation alerts so the next review focuses on report completion.

2. A regional public transit operator maintains SAP HANA for ridership analytics while preparing an SAP HANA Cloud environment for a later modernization wave. During an administration review, the architecture register lists both environments under one "database platform" entry. SAP HANA cockpit confirms the on-premises database is available, and SAP HANA Cloud Central confirms the cloud database is running, but the register does not identify which administration tasks belong to the active workload and which belong to the cloud rehearsal path.
The constraint is that the administrator must make the architecture register usable for operational decisions without changing the landscape. The handover must clearly distinguish current administration scope from future migration readiness.
Which action best improves the architecture register?

A) Separate the register entries by SAP HANA environment, administration purpose, and evidence source before approving handover.
B) Remove the SAP HANA Cloud entry until the cloud environment hosts the active ridership analytics workload.
C) Use the on-premises entry as the controlling architecture record because it supports the current production analytics workload.
D) Keep one platform entry because both systems are SAP HANA databases and both are reachable through SAP administration tools.

3. A regional sports merchandise company runs SAP HANA for order trend analytics. SAP HANA cockpit shows the database as available, but the operations team notices that one monitoring view reports normal CPU behavior while another workload history view shows a short spike during the same reporting interval. Users report that dashboards were slow only during that interval. A support analyst proposes increasing capacity because the workload history view shows a peak.
The constraint is that the administrator must reconcile conflicting monitoring evidence before recommending a configuration or capacity change. The next reporting cycle must remain available while the cause is validated.
Which action best fits the observed monitoring conflict?

A) Compare the monitoring time windows and workload evidence, identify the source of the spike, and apply a targeted correction only after validation.
B) Ignore the workload history because the current CPU monitoring view shows normal behavior.
C) Restart SAP HANA before the next reporting cycle so both monitoring views begin from the same runtime state.
D) Increase capacity immediately because any workload spike proves that the database is under-provisioned.

4. CHALLENGE 2 - Simulation Monitoring Baseline Control
The team has two possible actions before the second SIT run: tune the database now to improve simulation runtime, or first preserve monitoring evidence and then tune if the evidence supports it. Which action is most defensible?

A) Tune now and use the improved simulation runtime as the only rollout readiness measure.
B) Preserve the monitoring baseline first, then approve tuning only if current evidence supports it.
C) Reject all tuning until the airport analytics migration to SAP HANA Cloud is completed.
D) Replace monitoring evidence with business user feedback from the simulation session.

5. 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) Update the checklist to select the correct backup and dependent log sequence, then validate the recovery objective evidence.
B) Approve readiness because SAP HANA cockpit confirms that the newest backup completed successfully.
C) Create one additional backup so the checklist can avoid using dependent log entries.
D) Keep the previous weekly backup as the starting point because it is already documented in the recovery checklist.

Solutions: