SAP C-DBADM-2601 Value Pack (Frequently Bought Together)

A regional wholesale distributor runs SAP HANA in a mixed landscape: one on-premises production database and one SAP HANA Cloud database for newer workloads. After a storage maintenance window, the on-premises database starts, but business users report that the most recent sales corrections are missing. In the administration view, the database status is green, the last full backup completed successfully two nights ago, and the latest log backup timestamp is much older than expected.
The operations lead wants recovery completed quickly, but the team must avoid losing committed transactions that were already acknowledged before the outage. The environment allows both cockpit-based checks and command-level administration.
What is the best next action to restore service while addressing the upstream cause of the recovery gap?

• A. Restore the latest full backup immediately and reopen the database for users because the database is already running normally.
• B. Restart the SAP HANA services again to force log processing and then repeat the recovery with the same backup set.
• C. Create a new full backup now and use that backup as the baseline for transactional recovery of the missing changes.
• D. Verify why log backups stopped, re-establish log backup continuity if possible, and then recover using the latest valid full backup plus available log backups.

A financial operations team uses SAP HANA for internal reconciliation reporting. The administrator reviews backup monitoring after a scheduled maintenance cycle. SAP HANA cockpit shows the latest data backup as completed, but the backup validation report flags that the configured retention cleanup removed older log backup files earlier than expected. The system is available, and the reporting team has not reported any issue.
The constraint is that the administrator must protect the required recovery window before accepting the backup state as production-ready. The operations policy allows cleanup automation, but the backup and log retention behavior must still support the agreed recovery coverage.
What should the administrator do next?

• A. Disable all backup cleanup automation so no backup files are removed in future cycles.
• B. Accept the backup state because the most recent data backup completed successfully.
• C. Correct the retention setting to preserve the required log backup range, then validate recoverability for the agreed window.
• D. Restart backup monitoring so the validation report can be generated from a refreshed runtime state.

A regional pharmaceutical distributor completes an SAP HANA installation rehearsal for a new on-premises administration environment. The installer reports completion, and the database can be started. During validation, SAP HANA cockpit shows the system as available, but the operations checklist shows that the database explorer connection was created using a temporary validation name instead of the final administration naming standard. The infrastructure team wants to accept the environment because the connection works.
The constraint is that the administrator must confirm a handover-ready installation, including administration evidence that will remain usable after acceptance. The team must not rely on a temporary validation artifact as the final operational reference.
What should the administrator do before accepting the installation handover?

• A. Create and verify the final database explorer connection using the approved administration naming standard, then repeat validation.
• B. Defer connection naming cleanup until the first production monitoring cycle confirms database availability.
• C. Rename the administration evidence in the checklist only, without changing the actual database explorer connection.
• D. Accept the installation because the database starts and the temporary database explorer connection works.

A regional specialty foods company uses SAP HANA for demand forecasting. After a backup schedule adjustment, SAP HANA cockpit shows the newest backup as successful. During resilience review, the administrator finds that the recovery checklist still selects the previous weekly backup as the starting point, while the intended recovery objective requires the most recent successful backup and its dependent log entries. A reviewer proposes approving the checklist because backup execution itself succeeded.
The constraint is that the administrator must prove recovery readiness against the intended recovery objective. The approval cannot depend only on backup success if the documented sequence starts from the wrong artifact.

• A. Approve readiness because SAP HANA cockpit confirms that the newest backup completed successfully.
• B. Update the checklist to select the correct backup and dependent log sequence, then validate the recovery objective evidence.
• C. Keep the previous weekly backup as the starting point because it is already documented in the recovery checklist.
• D. Create one additional backup so the checklist can avoid using dependent log entries.

A regional cold-chain logistics company uses SAP HANA for shipment temperature analytics. The backup schedule runs successfully, and SAP HANA cockpit shows recent backup entries. During a recovery readiness review, the administrator finds that the validation environment can read the data backup file but cannot access the related catalog metadata needed to select the correct recovery sequence. The operations team suggests restoring directly from the visible data backup because the file itself is available.
The constraint is that the administrator must validate a controlled recovery process, including correct backup selection and recovery sequence evidence. The team cannot approve readiness based only on the presence of a backup file.
Which action best supports recovery readiness validation?

• A. Create a new data backup and ignore the earlier catalog metadata because a newer file is easier to identify.
• B. Restore access to the required backup catalog metadata, select the correct recovery sequence, and rerun the recovery validation.
• C. Increase backup frequency so future recovery tests have more visible backup files to choose from.
• D. Restore directly from the visible data backup file and treat successful database opening as sufficient validation.