SAP Certified - Database Administrator - SAP HANA - C-DBADM-2601

A renewable energy company is preparing a phased move from SAP HANA on-premises to SAP HANA Cloud. The first rehearsal transfers a small administrative dataset successfully, and SAP HANA Cloud Central shows the target database as running. During post-migration review, database explorer checks on the target fail because the validation connection still uses the source system entry from the rehearsal workstation. The migration lead wants to approve the phase because the cloud target is active.
The constraint is that the administrator must validate the migrated target without confusing source connectivity with cloud validation. The phased migration should remain repeatable for later datasets.
Which action should the administrator take?

• A. Approve the migration phase because SAP HANA Cloud Central confirms that the target database is running.
• B. Correct the database explorer connection to the SAP HANA Cloud target, validate the migrated dataset there, and record the reusable validation step.
• C. Keep using the source connection and compare row counts because the source system remains the trusted baseline during rehearsal.
• D. Repeat the data transfer from the source system because a failed validation connection proves that the migration content did not move.

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

A regional subscription meal company runs SAP HANA for delivery forecast analytics. SAP HANA cockpit shows normal database availability, but the operations team sees that a memory consumption graph has a gap during the nightly planning run. The alert log has no critical entry, yet planners reported slower dashboard response during that same interval. A support coordinator suggests lowering the memory alert threshold to catch the next occurrence.
The constraint is that the administrator must restore trustworthy monitoring evidence before changing alert sensitivity. The next planning run must allow the team to correlate workload behavior with memory evidence.
Which action best addresses the monitoring gap?

• A. Ignore the graph gap because no critical alert was created and the database remained available.
• B. Verify and correct the memory metric collection path, monitor the next planning run, and validate that the graph captures the interval.
• C. Restart the database before the next planning run so the memory graph begins with a clean measurement baseline.
• D. Lower the memory alert threshold so the next planning run produces a clearer alert.

A medical device supplier is moving a reporting database from on-premises SAP HANA to SAP HANA Cloud in phases. The first migration rehearsal finishes technically, but the operations team finds that existing administration routines no longer map cleanly to the target environment. Backup scheduling assumptions, daily monitoring habits, and some lifecycle procedures were copied from the on-premises runbook without adjustment.
The migration manager wants the next rehearsal to stay on schedule and avoid rework after go-live. The constraint is that the team must reduce operational risk during transition without expanding the scope into a full process redesign.
What is the best next step for the next rehearsal cycle?

• A. Keep the existing on-premises administration routines unchanged because the successful technical migration proves operational readiness.
• B. Rebuild the entire administration model from scratch so the target landscape is treated as a completely independent platform.
• C. Freeze the migrated target configuration and postpone all administration process updates until after productive cutover.
• D. Add focused validation of backup, monitoring, and operational procedures in the cloud target and adjust only the runbook elements that no longer fit the new environment.

CHALLENGE 3 - Quota and Source Coordination for Multi-Vendor Materials
The sourcing lead wants to preserve vendor-sharing for priority materials so the first live week has more resilient coverage. A plant buyer wants to simplify those same materials to a single vendor during cutover because the order path looks more stable. Which option is most appropriate?

• A. Switch all priority materials to a single vendor because cutover stability always outweighs sourcing resilience
• B. Postpone supplier-sharing validation until invoice continuity testing is complete
• C. Let each plant decide which materials will use multi-vendor behavior during the first live week
• D. Preserve the intended multi-vendor pattern and verify whether source coordination can remain stable under representative cross-plant demand