Sep-2026 SAP C_DBADM_2601 Actual Questions and Braindumps [Q23-Q46]

Section	Objectives
Monitoring and Performance Tuning	– Performance analysis and troubleshooting – System monitoring tools (HANA Cockpit) – Resource management
Installation and Configuration	– SAP HANA installation procedures – Initial configuration and setup
Database Administration	– User and role management – Backup and recovery operations – Schema and object administration
SAP HANA Architecture and Core Concepts	– SAP HANA system architecture overview – In-memory database concepts – Tenant and system database concepts
Security and Authorization	– Authentication and authorization concepts – Security roles and privileges

NO.23 CHALLENGE 2 – Restoration Simulation Monitoring Baseline
The UAT team has two viable actions: tune memory-related settings now to improve restoration analytics, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

Tune now and use the improved response time as the main release readiness measure.

Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.

Reject all tuning until the SAP HANA Cloud migration phase begins.

Replace monitoring review with field manager feedback because the dashboard is user-facing.

NO.24 A packaging manufacturer performs a controlled SAP HANA administration change before a weekend reporting cycle. After the activity, the database starts and SAP HANA cockpit shows normal availability. During validation, the administrator sees that a scheduled administrative check still uses the previous configuration value even though the new value appears in the saved configuration record. The operations supervisor wants to close the change because no current user sessions are failing.
The constraint is that the administrator must confirm that scheduled administration will execute with the approved configuration. The validation must focus on the configuration state used during execution, not only current database availability.
What should the administrator do before closing the change?

Close the change because active users are not reporting failures after the database restart.

Manually update the change record to show that the previous configuration remains the operational baseline.

Validate why the scheduled check still reads the old value, activate the approved configuration where required, and rerun the administrative check.

Wait for the weekend reporting cycle to complete and review whether users report any effect from the configuration mismatch.

NO.25 An engineering services firm uses an on-premises SAP HANA system for daily operational processing and a separate SAP HANA Cloud database for project analytics. After a controlled stop and start sequence during maintenance, administrators confirm that the main instance is reachable again. However, one scheduled post-maintenance validation still fails because the target database remains inactive for application use even though general service status looks normal.
A colleague proposes restarting the full system one more time to clear any remaining inconsistency. The maintenance coordinator wants the smallest corrective action that restores the required database state without disturbing healthy components that are already back online.
What should the administrator do next?

Repeat a full instance restart because service availability suggests only a temporary post-maintenance inconsistency remains.

Validate the operational state of the specific database and activate only that database if its state does not match the required post-maintenance target.

Run an immediate full backup first so that any further administration action occurs only after a new protection point is created.

Delay the validation until the next cycle because the main instance is already reachable and broad service recovery has been achieved.

NO.26 A regional facilities management company runs SAP HANA for service request analytics. After a planned restart, SAP HANA cockpit shows the database as available, but a scheduled administrative validation script fails because it references a configuration profile that was renamed during the maintenance window. Manual checks from the cockpit succeed, so the service coordinator wants to close the restart activity.
The constraint is that the administrator must prove scheduled administration will execute correctly after the restart. The validation must address the renamed configuration reference rather than relying only on manual tool access.
What should the administrator do before closing the restart activity?

Close the restart activity because manual SAP HANA cockpit checks show that the database is available.

Reboot the database again so the scheduled script can rediscover the renamed configuration profile automatically.

Replace the scheduled script with manual cockpit checks until the next maintenance window.

Update and verify the scheduled validation reference to the renamed configuration profile, then rerun the administrative script.

NO.27 A food processing company is preparing for a weekend resilience test in a mixed SAP HANA landscape. The on-premises database supports operational processing, while a SAP HANA Cloud database is used for planning and analysis. During the pre-test review, administrators confirm that backup jobs finished on schedule and recent recovery documentation is available.
However, the validation team notices that the documented recovery sequence was not updated after a recent administration change, and the current procedure now assumes an execution order that no longer matches the active landscape. The continuity lead wants the gap corrected before the test starts, but without redesigning the full recovery model.
What is the best next action?

Start the resilience test anyway because successful backup completion is the main indicator of recovery readiness.

Update the recovery sequence so it reflects the current operational order and validate that the documented steps still support the required recovery objective.

Create another full backup immediately because a fresher backup point reduces the effect of any documentation gap.

Postpone all recovery testing until the entire mixed-landscape continuity approach can be rewritten from the ground up.

NO.28 CHALLENGE 2 – Traceability Workload Monitoring Baseline
Late-shift lot-history aggregation shows variable response time during rollout testing. The plant operations manager asks for tuning before the next checkpoint, but the current monitoring baseline has not yet been captured. What should the database owner do first?

Apply tuning immediately because late-shift reporting volume is business critical.

Capture the monitoring baseline and validate threshold relevance before approving tuning.

Disable late-shift monitoring so the next checkpoint focuses only on report completion.

Move the tuning decision to SAP HANA Cloud because analytics modernization is planned.

NO.29 A regional water services company uses SAP HANA for operational consumption analytics in an on-premises administration environment. After planned maintenance, the database starts and SAP HANA cockpit shows the system as available. During validation, an administrator runs an hdbsql check from the operations workstation and receives a connection response from a different database endpoint than the one recorded in the maintenance plan. The old endpoint was retained in a saved connection profile used by the operations team.
The constraint is that the administrator must validate the intended SAP HANA database before reopening scheduled administration checks. The team must not treat a successful connection as proof that the correct database target was reached.
Which action best resolves the validation issue?

Accept the validation because hdbsql returned a successful connection response from an SAP HANA database.

Restart the intended database so the saved connection profile automatically redirects to the active endpoint.

Correct the saved connection profile to the intended database endpoint, rerun the hdbsql check, and validate the target identity.

Recreate the administrator user because a wrong endpoint response indicates the user was assigned to the wrong database.

NO.30 CHALLENGE 1 – Recovery Review Configuration Traceability
The recovery review coordinator wants to accept the comparison because patient-flow reports opened successfully. The database team later confirms that the upgraded reporting system’s administration record does not reflect the configuration state used during testing. Which decision best supports readiness-quality evidence?

Use the comparison because report opening is sufficient evidence for operational sign-off.

Update the administration record and reassess the readiness comparison against the confirmed state.

Replace the upgraded system record with the SAP HANA Cloud provisioning record.

Treat the missing configuration evidence as unrelated because the review focuses on report access.

NO.31 A regional renewable materials company is refining its SAP HANA administration model for a mixed landscape. The on-premises database supports current analytics, while an SAP HANA Cloud environment is being prepared for a later migration wave. During a review, the administrator finds that the operations dashboard lists both systems under one generic availability indicator. SAP HANA cockpit confirms the on-premises database is available, and SAP HANA Cloud Central confirms the cloud database is running, but the indicator does not show which system each status came from.
The constraint is that the administrator must prevent operations from making environment-specific decisions from combined availability evidence. The handover must support separate operational action for each SAP HANA environment.
Which action best corrects the availability evidence problem?

Keep the combined indicator because both systems are SAP HANA databases and both are currently reachable.

Use the on-premises availability status as the primary indicator until the SAP HANA Cloud migration is complete.

Split the availability evidence by environment and validate the source tool for each SAP HANA system status.

Remove availability tracking for the cloud environment until production workloads are migrated to it.

NO.32 A regional diagnostics provider uses SAP HANA for laboratory operations analytics. The administrator performs a recovery rehearsal in a validation environment. The restore completes, but the validation notes show that the recovery used a backup chain selected from a manually exported catalog snapshot. The live backup catalog contains a newer log entry that was not included in the exported snapshot. The operations manager wants to accept the rehearsal because the database opened successfully.
The constraint is that the administrator must validate recovery using evidence that reflects the current backup catalog. The rehearsal must prove the recoverable state without relying on stale catalog metadata.
What should the administrator do next?

Accept the rehearsal because the restored database opened successfully in the validation environment.

Rerun recovery selection using the current backup catalog, restore to the required point, and validate the recovered state.

Create a new manual catalog export and attach it to the completed rehearsal without repeating recovery.

Ignore the newer log entry because the exported catalog snapshot was available when the restore began.

NO.33 CHALLENGE 3 – Cloud Migration Readiness Separation
The modernization lead wants the SAP HANA Cloud database included in the same release readiness status because it is provisioned and has a limited activation dataset. The cloud environment has not completed the startup, monitoring, or recovery evidence package used for active UAT systems. What is the best response?

Include the cloud database in the same status because provisioning and limited data show progress.

Keep cloud migration evidence separate until cloud-specific administration validation is completed.

Use the upgraded reporting system’s monitoring record as the SAP HANA Cloud readiness record.

Stop cloud planning until the current UAT release decision is fully completed.

NO.34 A logistics provider runs both SAP HANA Cloud and an on-premises SAP HANA system. During a morning maintenance task, an administrator confirms that core services are up, but application teams still cannot complete their validation checks against one database. Monitoring shows the overall instance is reachable, yet the affected database remains unavailable for the expected operational task.
A second administrator suggests restarting the full instance to clear the condition before the business window opens. The operations manager wants the smallest valid action that restores the database and avoids unnecessary impact on healthy components in the same landscape.
Which action is the best choice?

Restart the full SAP HANA instance because a service-level reset is the fastest universal way to restore database access.

Validate the state of the specific database and start or reactivate only that database component instead of restarting the whole instance.

Trigger an immediate backup so the database state is protected before any administration action is taken.

Shift all validation activity to the cloud landscape and delay action on the unavailable database until the next maintenance cycle.

NO.35 A regional educational publishing group is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The import completes, and database explorer confirms that sample analytics queries return expected results. During validation, the administrator finds that the cloud target was monitored only during import, not during the first post-import administration cycle. The project lead wants approval because the import and query checks both passed.
The constraint is that the migration wave must prove administration readiness after the cloud target reaches the migrated operating state. The validation pattern must be reusable for later phased migration waves.
Which recommendation is most appropriate?

Approve the rehearsal because the import completed and sample analytics queries returned expected results.

Repeat the import because missing post-import monitoring proves that the migration content was not loaded correctly.

Defer cloud target monitoring until production cutover because query validation already confirms usability.

Run and record the first post-import administration monitoring cycle for the cloud target, then approve only after the evidence passes.

NO.36 A regional consumer electronics repair company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The migration tool completes the transfer, and database explorer confirms that representative queries return expected values on the cloud target. During validation, the administrator sees that the source system was monitored during export, but the cloud target was not included in the routine backup validation checklist after import. The project lead wants approval because data access was confirmed.
The constraint is that the migration wave must prove the cloud target can be operated after import. The approval evidence must include resilience readiness for the migrated state, not only query validation.
Which recommendation is most appropriate?

Repeat the full transfer because missing target backup validation proves the migrated data was not imported correctly.

Approve the rehearsal because representative cloud queries returned expected values after the transfer.

Add the cloud target to the post-import backup validation checklist, run the validation for the migrated state, and approve only after evidence is recorded.

Defer cloud backup validation until production cutover because the rehearsal already confirmed target query access.

NO.37 A regional environmental testing company operates SAP HANA on-premises for laboratory turnaround analytics and is preparing a separate SAP HANA Cloud environment for migration rehearsal. During an administration review, the landscape worksheet shows one shared “administration owner” for both environments, but the operational evidence comes from different tools. SAP HANA cockpit confirms the on-premises system status, while SAP HANA Cloud Central confirms the cloud database status. The worksheet does not show which owner must act on each environment-specific alert or readiness item.
The constraint is that the administrator must make the landscape worksheet actionable without changing the assigned team structure. The handover must distinguish current operations from cloud migration readiness.
Which action best resolves the landscape ownership issue?

Keep the shared owner entry because both systems are SAP HANA databases and the same team supports them.

Split the worksheet by environment, evidence source, and operational responsibility while retaining the same administration team.

Remove the SAP HANA Cloud readiness items until the migration rehearsal becomes the active operational workload.

Treat the on-premises SAP HANA cockpit status as the controlling readiness signal for both environments.

NO.38 CHALLENGE 4 – Release Recoverability Evidence Gate
Backups completed for the upgraded reporting system and the newly installed UAT database before testing began. Recovery validation for the UAT database is scheduled but not complete, and the upgraded system has only backup completion evidence. What should happen before final UAT sign-off supports release approval?

Approve sign-off because completed backups are enough for release continuity.

Complete recovery validation and document startup behavior for the release systems.

Perform recovery validation only if reporting becomes unavailable during UAT.

Replace recovery validation with dashboard availability because this is not production cutover.

NO.39 A utilities provider operates SAP HANA in a mixed landscape, with an on-premises database supporting operational workloads and SAP HANA Cloud used for newer reporting services. During the morning review, administrators see that the database remains available and scheduled backups completed, but one recurring health check now reports sustained delay in a narrow set of monitoring results.
General user activity is unaffected. A junior team member recommends broad resource expansion because delayed monitoring often appears during heavier runtime periods. The operations lead wants the first step to stay within the existing maintenance scope and identify whether the slowdown is caused by the monitoring design itself or by an actual platform issue.
What is the best first action?

Increase system resources immediately because a delayed monitoring result usually confirms growing platform pressure.

Review whether the delayed monitoring check is tied to a specific workload pattern or collection scope before changing system capacity.

Restart the database instance so that all monitoring indicators are recalculated from a clean operational state.

Suppress the delayed health check temporarily because user-facing activity is still functioning normally.

NO.40 A media distribution company recently adjusted a database configuration setting on its on-premises SAP HANA environment to improve background data preparation before replication to SAP HANA Cloud. The next day, overnight processing improved, but administrators notice that morning analyst sessions now experience short response spikes during a narrow usage window. System availability is normal, and memory indicators remain within target range.
A platform engineer recommends increasing CPU allocation because the analyst complaints appear during peak usage. The service owner wants the least disruptive correction that preserves the overnight gain while resolving the new daytime regression.
What is the best first step?

Compare the recent configuration change against the affected workload pattern and adjust only the setting that is shifting performance away from interactive use.

Reverse the full tuning change immediately because any daytime slowdown proves the optimization attempt failed overall.

Increase CPU resources first because a short response spike always indicates the current configuration is already correct but undersized.

Move the analyst workload completely to SAP HANA Cloud because the mixed landscape already supports that target environment.

NO.41 CHALLENGE 3 – Freight Cloud Readiness Boundary
The project team wants to approve cloud migration planning using three facts: the SAP HANA Cloud database is provisioned, freight sample data is loaded, and on-premises cutover reports run successfully. Which validation step is still required?

Confirm cloud administration readiness evidence for the freight sample dataset scope.

Approve migration planning because the three facts cover the full readiness chain.

Stop on-premises cutover validation because the future reporting direction is cloud-based.

Treat the freight sample dataset as proof that cloud monitoring and recovery evidence are complete.

NO.42 CHALLENGE 4 – Regional Release Recovery Assurance
The remediation lead can release the regional template on schedule using backup completion evidence, or delay briefly to include recovery validation for the remediation database and recoverability evidence for the upgraded system. Which path is most defensible?

Release on schedule because meeting the template date is the strongest governance outcome.

Delay briefly to complete recoverability evidence for systems supporting the regional release.

Release on schedule and attach recovery validation to the future SAP HANA Cloud migration plan.

Cancel the regional release because recovery validation was not completed before testing began.

NO.43 A regional nonprofit services provider uses SAP HANA for daily service utilization reporting. SAP HANA cockpit shows that a memory-related alert rule is triggered during the early reporting window, but the operations mailbox does not receive the expected notification. The database remains available, and dashboard users do not report failures. During review, the administrator notices that the alert appears in the monitoring view, but the notification assignment used by the operations team was not confirmed after a recent administration cleanup.
The constraint is that the administrator must restore reliable alert handling before the next reporting window. The team needs proof that monitoring detection and notification delivery are both working, not only that the alert is visible in cockpit.
Which action best addresses the alert handling gap?

Verify the notification assignment for the triggered alert, correct the missing assignment, and validate that a new alert event reaches operations.

Close the alert because SAP HANA cockpit already displays it and the database remains available for reporting users.

Restart the database so alert rules and notification assignments are reloaded during the next startup cycle.

Increase the alert threshold so the memory-related event occurs less often during the reporting window.

NO.44 CHALLENGE 3 – Modernization Readiness Boundary Control
The modernization lead wants the SAP HANA Cloud database included in the same readiness status as the plant rollout systems because it is provisioned and has a small replicated test dataset. The cloud environment has not completed the monitoring or recovery evidence package used for plant reporting systems. What is the best response?

Include the cloud database in the same readiness status because provisioning and test data show progress.

Keep cloud planning evidence separate until cloud-specific administration validation is completed.

Use the pilot system monitoring record as the SAP HANA Cloud readiness record.

Stop modernization planning until the current plant rollout wave is fully completed.

NO.45 CHALLENGE 1 – UAT Configuration Evidence Reconciliation
The release coordinator wants to use the first UAT comparison because activation reports opened successfully. The database team later confirms that the upgraded reporting system’s administration record does not reflect the configuration state used during testing. Which decision best supports release-quality evidence?

Use the comparison because report opening is sufficient evidence for release support.

Update the administration record and reassess the UAT comparison against the confirmed state.

Replace the upgraded system record with the SAP HANA Cloud provisioning record.

Treat the missing configuration evidence as unrelated because UAT focuses on reporting access.

NO.46 CHALLENGE 2 – Close Aggregation Monitoring Evidence
The team can either tune memory-related settings now to improve claims reserve aggregation or first confirm whether the copied monitoring thresholds reflect the upgraded system. Which decision best balances performance and evidence quality?

Tune now and treat the improved aggregation time as the main close readiness result.

Confirm threshold relevance first, then tune only if current evidence supports the change.

Reject all tuning until the SAP HANA Cloud modernization phase is complete.

Use regional manager feedback instead of monitoring evidence because close reports loaded.