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SAP C_DBADM Exam Syllabus Topics:

SAP Certified - Database Administrator - SAP HANA Sample Questions:

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

2. <strong>CHALLENGE 2 &#x2014; Traceability Workload Monitoring Baseline</strong> Late-shift lot-history aggregation shows variable response time during rollout testing. The plant operations manager asks for tuning before the next checkpoint, but the current monitoring baseline has not yet been captured. What should the database owner do first?

A) isable late-shift monitoring so the next checkpoint focuses only on report completion.
B) apture the monitoring baseline and validate threshold relevance before approving tuning.
C) ove the tuning decision to SAP HANA Cloud because analytics modernization is planned.
D) pply tuning immediately because late-shift reporting volume is business critical.

3. A regional home improvement retailer uses SAP HANA for replenishment analytics in an on-premises administration environment. After a scheduled start, SAP HANA cockpit shows the database as available. During post-start validation, the administrator sees that a configuration parameter change is visible in the approved change record, but the active administration check still reports the old parameter value. Reports continue to run, and the service owner wants to close the maintenance window.
The constraint is that the administrator must verify the active configuration state before closure. The team must not accept the change record as sufficient evidence when the system artifact still shows the previous value.
What should the administrator do next?

A) estart the database again so the approved change record is automatically synchronized with the runtime check.
B) lose the maintenance window because database availability and running reports prove that the change did not disrupt operations.
C) pply or activate the approved parameter change in the active administration context, then validate that the runtime check shows the approved value.
D) pdate the change record with an additional note confirming that reports continue to run after startup.

4. 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) nalyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.
D) ncrease dashboard timeout values so users can wait longer for the morning refresh to complete.

5. <strong>CHALLENGE 4 &#x2014; Recovery Validation Before Hypercare Closure</strong> A full backup completed after the SAP HANA upgrade, and business reporting has remained available for several days. Recovery validation is scheduled, but the sponsor wants to close hypercare early. What is the best administration decision?

A) eplace recovery validation with additional monitoring because reporting availability is the main business indicator.
B) lose hypercare now and perform recovery validation only if the next reporting cycle has disruption.
C) lose hypercare because backup completion and availability together prove operational continuity.
D) omplete recovery validation before final hypercare closure, using the completed backup as supporting evidence.

Solutions: