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SAP C-DBADM-2601 Exam Syllabus Topics:

SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. CHALLENGE 1 - SIT Configuration State Comparison
The SIT lead wants to sign off the first test cycle because baggage and gate reports opened successfully. The administration team later finds that the upgraded system's configuration record does not match the state used during the test. Which decision best supports SIT evidence quality?

A) Ignore the record because SIT should validate reporting behavior rather than administration evidence.
B) Replace the upgraded system's record with the SAP HANA Cloud provisioning evidence.
C) Update the configuration record and reassess whether the SIT results were produced under the intended state.
D) Sign off the cycle because successful report opening is the primary database validation point.

2. A regional airport services company operates SAP HANA on-premises for baggage-flow analytics and is assessing an SAP HANA Cloud target for a later migration wave. During an architecture review, the administrator finds that the environment map lists both databases under one "analytics database" entry. SAP HANA cockpit evidence exists for the on-premises database, while SAP HANA Cloud Central evidence exists for the cloud target. The map does not identify which database supports the current operational workload and which database is only in migration preparation.
The constraint is that the administrator must make the environment map usable for operational decisions without removing either database from scope. The map must separate active administration from migration-readiness tracking.
Which action best resolves the architecture mapping gap?

A) Mark the SAP HANA Cloud target as inactive and remove its evidence until the migration wave starts.
B) Keep one combined database entry because both systems are part of the SAP HANA administration landscape.
C) Split the environment map into current workload database and migration-preparation target, with each tied to its own evidence source.
D) Treat SAP HANA cockpit evidence as sufficient because it represents the database currently supporting operations.

3. A regional healthcare supply wholesaler runs SAP HANA for distribution analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays normal response time while a workload review shows a short queue increase during invoice analytics processing. Users reported a delay during the same interval. The support lead suggests increasing response-time thresholds because the dashboard did not show a severe issue.
The constraint is that the administrator must explain the delay using consistent monitoring evidence before changing thresholds. The next invoice analytics cycle must remain observable without masking the symptom.
Which action best supports correct troubleshooting?

A) Increase response-time thresholds so minor delays no longer appear as operational concerns.
B) Ignore the workload queue increase because the operations dashboard showed normal response time.
C) Restart SAP HANA before the next invoice analytics cycle to reset both response-time and queue measurements.
D) Compare the dashboard interval with workload queue evidence, validate the timing relationship, and investigate the queue source before changing thresholds.

4. CHALLENGE 3 - Cloud Planning Evidence Separation
The modernization lead wants to include the SAP HANA Cloud environment in the same readiness status as the first close systems because the cloud database is provisioned and has limited reporting data. The cloud evidence package does not include matching monitoring or recovery validation. What is the best response?

A) Stop cloud transition planning until the current close system is fully retired.
B) Use the upgraded on-premises system's close evidence as the SAP HANA Cloud readiness record.
C) Include the cloud database in the same status because provisioning and limited data prove readiness.
D) Keep cloud planning evidence separate until cloud-specific monitoring and recovery evidence are available.

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

Solutions: