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SAP C-DBADM-2601 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SAP HANA Monitoring and Troubleshooting | 12% | - Monitor system performance
|
| Topic 2: SAP HANA Installation and Configuration | 12% | - Install SAP HANA
|
| Topic 3: SAP HANA High Availability and Disaster Recovery | 12% | - Implement high availability
|
| Topic 4: SAP HANA Database Administration | 12% | - Manage database objects
|
| Topic 5: SAP HANA Backup and Recovery | 12% | - Perform backups
|
| Topic 6: SAP HANA System Administration | 12% | - Manage system configuration
|
| Topic 7: SAP HANA Performance Optimization | 16% | - Manage memory and resources
|
| Topic 8: SAP HANA Security | 12% | - Manage users and roles
|
SAP Certified - Database Administrator - SAP HANA Sample Questions:
A regional medical equipment distributor restarts SAP HANA after a maintenance window. SAP HANA cockpit shows the database as available, and a small set of administrator checks passes. However, the configuration worksheet requires a post-start parameter verification, and the validation note still contains the parameter values captured before maintenance. A warehouse analytics user confirms that one dashboard opens successfully.
The constraint is that the administrator must close the maintenance window only after confirming the active configuration state. General availability and one successful dashboard cannot substitute for validation that the configured runtime values match the expected post-maintenance baseline.
What should the administrator do next?
- A. Verify the active post-start parameter values, update the validation note, and close the window only after configuration evidence matches the expected baseline.
- B. Ask more users to open dashboards so runtime configuration can be validated through workload access.
- C. Close the maintenance window because SAP HANA cockpit shows availability and the dashboard opens.
- D. Restore the pre-maintenance parameter values because they already appear in the validation note.
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A food distribution company uses SAP HANA for warehouse performance reporting. The administrator performs a scheduled recovery test in a non-production validation environment using the latest available backup set. The restore starts successfully, but validation shows that the recovered database does not include the expected transactions from the final hour before the backup window closed. The backup monitor shows successful data backup completion and a later log backup entry marked as delayed.
The constraint is that the administrator must validate the agreed recovery point before the backup process is accepted. The team cannot treat a successful restore start as sufficient evidence of recovery readiness.
What should the administrator do next?
- A. Create a new data backup after the test and use that completion result as proof that the previous recovery point was valid.
- B. Repeat the restore using the same backup set and skip the transaction-level validation step.
- C. Accept the recovery test because the restore process started successfully from a valid backup set.
- D. Investigate the delayed log backup dependency, make the required log sequence available, and rerun recovery validation for the target point.
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A regional furniture manufacturer uses SAP HANA for production-demand analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays a short CPU spike during the planning run while the workload log shows a longer query wait interval. Users reported slow report refreshes at the same time. A coordinator suggests raising the CPU alert threshold because the spike was brief.
The constraint is that the administrator must determine whether the user delay is related to workload wait behavior before changing monitoring thresholds. The next planning run must remain observable with evidence that can support troubleshooting.
Which action best supports the troubleshooting decision?
- A. Restart the database before the next planning run so the workload log starts from a clean state.
- B. Raise the CPU alert threshold because the observed spike was brief and the database remained available.
- C. Ignore the workload wait interval because SAP HANA cockpit did not show a database outage.
- D. Correlate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.
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A wholesale distributor is preparing an SAP HANA maintenance activity for an on-premises database. The administrator runs the upgrade preparation checks before the approved window. The tool output shows the target revision is acceptable, but a preparation check flags insufficient free space in the temporary working area used during upgrade execution. The database remains available, and the application team asks whether the activity can proceed because the software package itself has already been staged.
The constraint is that the administrator must avoid starting an upgrade that can fail mid-execution and leave operations without a clean validation result.
Which action best supports a controlled upgrade start?
- A. Take a new database backup and proceed because backup availability removes the need to clear preparation warnings.
- B. Start the upgrade because the target revision is acceptable and the software package has already been staged.
- C. Move monitoring activity to SAP HANA cockpit during the window so the team can react if the upgrade stops.
- D. Resolve the temporary working area capacity issue, rerun the preparation checks, and start the upgrade only after the check passes.
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A regional print services company is rehearsing a phased migration from SAP HANA on-premises to SAP HANA Cloud. The export completes, the target database is reachable, and database explorer confirms that sample queries return dat a. During review, the administrator finds that the rehearsal workbook does not include a comparison of administration checks between the source system before export and the cloud target after import. The project lead wants approval because the query results are correct.
The constraint is that the migration wave must prove operational transition readiness, not only data access. The validation pattern must show that source administration evidence and target administration evidence were captured at the correct points in the migration sequence.
Which recommendation is most appropriate?
- A. Approve the rehearsal because successful target queries prove that the migrated data is usable.
- B. Defer administration comparison until production cutover so the rehearsal can focus only on transfer completion.
- C. Capture source pre-export administration evidence and target post-import administration evidence, then approve only after both are validated.
- D. Repeat the source export because missing administration comparison means the data movement failed.
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