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SAP C_DBADM Exam Syllabus Topics:

SAP Certified - Database Administrator - SAP HANA Sample Questions:

Question 1

<strong>CHALLENGE 2 &#x2014; Restoration Simulation Monitoring Baseline</strong> The UAT team has two viable actions: tune memory-related settings now to improve restoration analytics, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

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

Question 2

A subscription billing company uses SAP HANA for scheduled revenue analysis. Users report that one recurring analysis job finishes later than expected, but interactive checks remain responsive. SAP HANA cockpit shows no database outage, while monitoring history shows that the late job overlaps with a planned administrative task and a short period of increased CPU utilization. The support team suggests changing the job owner because the job still completes successfully.
The constraint is that the administrator must identify whether the delay is caused by workload timing or an execution access problem before making a change. The next scheduled run must remain within the reporting window.
Which response best addresses the delayed execution?

A. eview the job timing against the administrative task and CPU history, then adjust scheduling or workload placement if the overlap is confirmed.
B. estart the database before the next run so background execution begins from a clean runtime state.
C. ccept the current schedule because successful completion proves that the reporting window is protected.
D. hange the job owner immediately because delayed completion indicates an authorization problem.

Question 3

A regional water services company uses SAP HANA for operational consumption analytics in an on-premises administration environment. After planned maintenance, the database starts and SAP HANA cockpit shows the system as available. During validation, an administrator runs an hdbsql check from the operations workstation and receives a connection response from a different database endpoint than the one recorded in the maintenance plan. The old endpoint was retained in a saved connection profile used by the operations team.
The constraint is that the administrator must validate the intended SAP HANA database before reopening scheduled administration checks. The team must not treat a successful connection as proof that the correct database target was reached.
Which action best resolves the validation issue?

A. ccept the validation because hdbsql returned a successful connection response from an SAP HANA database.
B. ecreate the administrator user because a wrong endpoint response indicates the user was assigned to the wrong database.
C. orrect the saved connection profile to the intended database endpoint, rerun the hdbsql check, and validate the target identity.
D. estart the intended database so the saved connection profile automatically redirects to the active endpoint.

Question 4

A regional hospitality group runs SAP HANA for occupancy and revenue analytics. SAP HANA cockpit shows the database as available, but the operations team notices that a performance alert appears only after the reporting peak has already passed. The monitoring history shows that the alert condition existed during the peak window, but the alert evaluation schedule was changed during an administration cleanup. Reports eventually complete, so the support team suggests accepting the current behavior.
The constraint is that the administrator must ensure monitoring supports timely operational response, not only after-the-fact review. The next reporting peak must be covered by alert evaluation that reflects the active workload window.
Which action best addresses the alert timing issue?

A. lign the alert evaluation schedule with the reporting peak window and validate that alerts trigger during the active workload period.
B. aise the alert threshold so fewer delayed alerts appear in SAP HANA cockpit.
C. ccept the current monitoring behavior because reports eventually complete after the reporting peak.
D. estart the database before the next peak so alert evaluation begins from a clean runtime state.

Question 5

A pharmaceutical packaging company is validating a planned software maintenance activity on its on-premises SAP HANA database while keeping dependent analytical work active in SAP HANA Cloud. After the maintenance sequence, the system is available, but one lifecycle validation record still shows the pre-maintenance level.
Basic operational checks succeed, so a junior administrator argues that the discrepancy can be ignored until the next window. The maintenance lead is concerned because future administration steps rely on a fully consistent lifecycle state. The team must resolve the issue now without triggering an unnecessary rollback of the entire maintenance cycle.
What is the best next action?

A. gnore the remaining lifecycle discrepancy because database availability proves that the maintenance sequence completed well enough for production use.
B. dentify which maintenance finalization step did not complete correctly and finish that step before releasing the system.
C. estart the database services again and assume the lifecycle record will realign automatically once all components refresh.
D. oll back the full maintenance activity immediately because any lifecycle mismatch means the current environment is invalid.

Solutions: