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SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. A regional nonprofit services provider uses SAP HANA for daily service utilization reporting. SAP HANA cockpit shows that a memory-related alert rule is triggered during the early reporting window, but the operations mailbox does not receive the expected notification. The database remains available, and dashboard users do not report failures. During review, the administrator notices that the alert appears in the monitoring view, but the notification assignment used by the operations team was not confirmed after a recent administration cleanup.
The constraint is that the administrator must restore reliable alert handling before the next reporting window. The team needs proof that monitoring detection and notification delivery are both working, not only that the alert is visible in cockpit.
Which action best addresses the alert handling gap?

A) estart the database so alert rules and notification assignments are reloaded during the next startup cycle.
B) ncrease the alert threshold so the memory-related event occurs less often during the reporting window.
C) lose the alert because SAP HANA cockpit already displays it and the database remains available for reporting users.
D) erify the notification assignment for the triggered alert, correct the missing assignment, and validate that a new alert event reaches operations.

2. <strong>CHALLENGE 3 &#x2014; Cloud Modernization Evidence Boundary</strong> The leadership update needs to cover current hypercare readiness and future SAP HANA Cloud reporting migration. The on-premises hypercare systems have backup and monitoring evidence, while the cloud database has provisioning and sample data only. Which action best supports accurate decision-making?

A) reat cloud provisioning as proof that the migration stream is ready for reporting transition.
B) ombine all evidence into one readiness status so the leadership update is easier to read.
C) eparate current hypercare readiness from SAP HANA Cloud migration readiness in the update.
D) elay hypercare acceptance until SAP HANA Cloud carries the same outage analytics workload.

3. <strong>CHALLENGE 2 &#x2014; Maintenance Simulation Monitoring Baseline</strong> The database team can tune workload-related settings now to improve patient-flow analytics or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

A) eject all tuning until the SAP HANA Cloud migration phase begins.
B) eplace monitoring review with clinical operations feedback because the dashboard is business-facing.
C) une now and use the improved response time as the main readiness measure.
D) reserve baseline monitoring evidence first, then approve tuning if current evidence supports it.

4. <strong>CHALLENGE 1 &#x2014; Plant Wave Configuration Evidence Alignment</strong> During rollout preparation, plant quality test users can connect to both SAP HANA reporting systems. The newly installed wave database has its active configuration documented, but the upgraded pilot system still has one stabilization value recorded only in a local operations note. What should the administrator do before accepting the rollout comparison?

A) ccept the comparison because both systems allow reporting connections.
B) emove the documented value from the wave database record so both records appear similar.
C) ontinue the rollout and review the local operations note after plant users begin testing.
D) econcile the pilot configuration value into the central administration record before acceptance.

5. A laboratory services company runs SAP HANA for sample throughput reporting. The database remains available, but SAP HANA cockpit shows a recurring warning for long-running statements during the evening batch reporting period. The reporting job completes, yet the next morning dashboard refresh is slower than expected. A support coordinator proposes increasing dashboard timeout values because the reports eventually finish.
The constraint is that the administrator must correct the operational cause rather than mask the symptom. The system must remain available, and any adjustment must be based on monitoring evidence from the affected execution window.
Which response best fits the monitoring evidence?

A) estart the database after evening reporting so long-running statement history does not affect the next dashboard cycle.
B) isable the evening reporting job until dashboard refresh times return to the expected level.
C) ncrease dashboard timeout values so users can wait longer for the morning refresh to complete.
D) nalyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.

Solutions: