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SAP C-DBADM-2601 Exam Syllabus Topics:

SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. A regional publishing group is preparing an SAP HANA administration runbook for a mixed landscape that includes an on-premises database and an SAP HANA Cloud environment. The draft runbook uses one lifecycle calendar for both environments. During review, the administrator notices that the calendar combines an on-premises upgrade window, SAP HANA Cloud availability checks, and migration rehearsal milestones into one approval step. 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 runbook must support correct operational decisions for each environment without treating mixed lifecycle evidence as one shared approval state.
Which action best improves the runbook before operational use?

A) Remove migration rehearsal milestones from the runbook until the SAP HANA Cloud environment becomes the active workload target.
B) Approve the runbook because both SAP HANA environments are available in their administration tools.
C) Separate lifecycle validation steps by environment and require evidence specific to each SAP HANA administration activity.
D) Use the on-premises upgrade window as the controlling lifecycle event for the entire mixed landscape.

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

3. CHALLENGE 2 - Dispatch Simulation Monitoring Baseline
The cutover team has two viable actions: tune workload-related settings now to improve carrier exception dashboards, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

A) Reject all tuning until the SAP HANA Cloud migration phase begins.
B) Replace monitoring review with warehouse supervisor feedback because the dashboard is user-facing.
C) Tune now and use the improved response time as the main release readiness measure.
D) Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.

4. CHALLENGE 4 - SIT Recovery Evidence Sequencing
Backups completed before SIT began for the upgraded and newly installed SAP HANA databases. The installed test database has recovery validation scheduled before the second SIT cycle, but it is not yet complete. What should happen before releasing the next SIT cycle?

A) Complete recovery validation and document startup behavior before release approval.
B) Release the cycle because completed backups are enough for integration testing continuity.
C) Release the cycle and perform recovery validation only if the database becomes unavailable.
D) Replace recovery validation with dashboard availability because SIT is not production.

5. CHALLENGE 2 - Restoration Simulation Monitoring Baseline
The monitoring dashboard shows acceptable daytime availability, but restoration simulation behavior varies after hours. The alert thresholds may still reflect the earlier operational reporting profile. Which action best supports a reliable UAT conclusion?

A) Tune the after-hours workload first and update monitoring evidence after the release decision.
B) Increase all alert thresholds so the second UAT run avoids unnecessary performance warnings.
C) Confirm threshold relevance for the restoration simulation workload before interpreting the dashboard trend.
D) Treat daytime availability as sufficient because the database remained reachable.

Solutions: