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

CHALLENGE 3 - Cloud Modernization Evidence Boundary
The leadership update needs to cover current hypercare readiness and future SAP HANA Cloud reporting migration. The on-premises hypercare systems have backup and monitoring evidence, while the cloud database has provisioning and sample data only. Which action best supports accurate decision-making?

• A. Combine all evidence into one readiness status so the leadership update is easier to read.
• B. Separate current hypercare readiness from SAP HANA Cloud migration readiness in the update.
• C. Treat cloud provisioning as proof that the migration stream is ready for reporting transition.
• D. Delay hypercare acceptance until SAP HANA Cloud carries the same outage analytics workload.

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

A regional scientific instruments company is planning an incremental migration rehearsal from SAP HANA on-premises to SAP HANA Cloud. The source system export completes, and the cloud target is reachable in database explorer. Before import approval, the administrator discovers that the migration worksheet records the target connection test but does not record whether the target administration baseline was captured before loading migrated data. The project lead wants to continue because target access is confirmed.
The constraint is that the rehearsal must preserve a clean before-and-after comparison for the cloud target. The team must be able to distinguish pre-import target readiness from post-import migrated-state validation.

• A. Defer the target baseline until after import because the migrated state is the only state that matters for approval.
• B. Capture the target administration baseline before import, then record post-import validation separately for the migrated state.
• C. Repeat the source export because missing target baseline evidence means the source data is unreliable.
• D. Continue with import because database explorer confirms the SAP HANA Cloud target is reachable.

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

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