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SAP Certified - Database Administrator - SAP HANA Sample Questions:

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

2. CHALLENGE 4 - Close Recovery Readiness Gate
Backups completed for the upgraded claims reporting system and the newly installed validation database before close rehearsal. Recovery validation for the validation database is scheduled but not complete, and the upgraded system has only backup completion evidence. What should happen before final close sign-off?

A) Perform recovery validation only if close reporting becomes unavailable.
B) Approve close sign-off because backup completion is enough for first close continuity.
C) Complete recovery validation and document startup behavior for the close-cycle systems.
D) Replace recovery validation with dashboard availability because this is a rehearsal cycle.

3. A consumer goods company runs SAP HANA for daily operational dashboards in a mixed landscape. The database remains available, but SAP HANA cockpit shows repeated alert notifications for disk usage growth in a data volume. The administrator checks recent workload activity and confirms that dashboard execution still completes successfully. A support analyst proposes acknowledging the alerts because no user-facing outage has occurred.
The constraint is that the administrator must prevent the monitoring artifact from becoming an execution-impacting condition while avoiding unnecessary database restart activity during business hours. The operations manager needs evidence that the alert is being handled at the correct system layer before the next reporting cycle begins.
Which action best addresses the monitoring condition?

A) Restart the database so disk usage indicators refresh before the next reporting cycle begins.
B) Investigate volume growth and related workload activity, correct the capacity condition, and validate that the alert state clears.
C) Acknowledge the alert and wait for user reports because dashboard execution currently completes successfully.
D) Increase the alert threshold so the current warning no longer appears during normal dashboard execution.

4. A regional medical equipment distributor restarts SAP HANA after a maintenance window. SAP HANA cockpit shows the database as available, and a small set of administrator checks passes. However, the configuration worksheet requires a post-start parameter verification, and the validation note still contains the parameter values captured before maintenance. A warehouse analytics user confirms that one dashboard opens successfully.
The constraint is that the administrator must close the maintenance window only after confirming the active configuration state. General availability and one successful dashboard cannot substitute for validation that the configured runtime values match the expected post-maintenance baseline.
What should the administrator do next?

A) Close the maintenance window because SAP HANA cockpit shows availability and the dashboard opens.
B) Restore the pre-maintenance parameter values because they already appear in the validation note.
C) Verify the active post-start parameter values, update the validation note, and close the window only after configuration evidence matches the expected baseline.
D) Ask more users to open dashboards so runtime configuration can be validated through workload access.

5. A regional packaging logistics company uses SAP HANA for shipment planning analytics. The administrator reviews recovery readiness after a backup retention adjustment. SAP HANA cockpit shows recent successful backups, but the recovery workbook still references the previous retention window for selecting recovery artifacts. A validation attempt can see current backup entries, yet the documented recovery sequence would exclude one required log backup under the new retention setting.
The constraint is that the administrator must prove the documented recovery process reflects the active retention configuration. The team cannot approve readiness if the workbook selects artifacts using an outdated retention assumption.
What should the administrator do next?

A) Ignore the missing log backup because the validation attempt can still see current backup entries.
B) Approve recovery readiness because SAP HANA cockpit shows recent successful backup entries.
C) Create another data backup so the recovery sequence can use only the newest backup entry.
D) Update the recovery workbook to the active retention configuration, select the required backup sequence, and rerun validation.

Solutions: