SAP Certified - Database Administrator - SAP HANA - C_DBADM

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

A consumer goods company runs an on-premises SAP HANA database for core operational processing and uses SAP HANA Cloud for newer analytical workloads. During a scheduled maintenance window, the database administrator completes preparatory upgrade steps on the on-premises system, but the post-maintenance validation shows that the database services are available while the planned upgrade state has not been reached consistently.
One lifecycle check still reports the previous software level, and dependent validation tasks remain blocked. The operations lead wants the issue resolved within the same window without introducing unnecessary rollback risk. The team can use both administration interfaces and command-level tooling, but they must confirm the upgrade state before handing the system back.
What is the best next action?

• A. estart the full database landscape again and assume the remaining lifecycle indicator will update after all services come back online.
• B. estore the pre-maintenance backup immediately because any lifecycle mismatch means the upgrade attempt has already failed.
• C. roceed with handover because service availability is the primary success criterion and version alignment can be verified later.
• D. alidate the incomplete lifecycle step, confirm which upgrade phase did not finalize correctly, and complete that phase before release.

A regional apparel retailer uses SAP HANA for store sales analytics. SAP HANA cockpit shows the database as available, but the operations team receives a repeated warning that one monitoring data provider has stopped sending updated values. Business dashboards remain usable, and users have not reported failures. During review, the administrator sees that the affected provider feeds capacity trend analysis used before weekend sales events.
The constraint is that the administrator must restore monitoring evidence before the next weekend event. The team must not rely only on current dashboard availability when capacity trend data is incomplete.
Which response best addresses the monitoring condition?

• A. alidate the affected monitoring provider, correct the update path, and confirm that current capacity trend values are collected.
• B. lose the warning because dashboard users have not reported failures and the database remains available.
• C. estart the database so all monitoring data providers are refreshed during startup.
• D. ncrease dashboard refresh intervals so the missing capacity trend values have less operational impact.

A regional food processing company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The source export completes, and the cloud target is reachable. During validation, the administrator sees that the source database continued receiving administrative test updates after the export timestamp, while the target checks are being compared against the current source state. The project lead wants approval because the cloud target can be queried successfully.
The constraint is that the migration rehearsal must prove the transferred state against the correct source point. The team must support phased modernization without confusing post-export source changes with migration failure.
Which action should the administrator recommend?

• A. pprove the rehearsal because the SAP HANA Cloud target is reachable and can be queried.
• B. reat the validation mismatch as proof that SAP HANA Cloud is not ready for this migration wave.
• C. alidate the target against the recorded export point, document post-export source changes separately, and rerun comparison using the correct baseline.
• D. epeat the export immediately without recording the source point because a fresh transfer removes the comparison issue.

A regional insurance provider completes an SAP HANA installation activity for a new administrative test environment. The installation summary reports success, and the database can be started. During the post-installation validation, SAP HANA cockpit shows the system, but one required administrative check remains incomplete because the database explorer connection was not created for the new database. The infrastructure team wants to mark the installation complete because the database process is running.
The constraint is that the administrator must confirm that the installation is operationally usable for administration tasks, not merely installed and started. The environment must be handed over with validated administration access.
Which action should the administrator take before handover?

• A. reate and verify the database explorer connection for the new database, then complete the post-installation validation.
• B. estart the database so SAP HANA cockpit and database explorer can automatically align their connection states.
• C. lose the installation because the installation summary reports success and the database can be started.
• D. ostpone validation until the first scheduled backup proves the new database is operationally available.