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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
SAP HANA Backup and Recovery	12%	- Perform recovery 1. Prepare for recovery 2. Execute recovery - Perform backups 1. Configure backup settings 2. Execute backups
SAP HANA Installation and Configuration	12%	- Install SAP HANA 1. Prepare for installation 2. Perform installation - Configure SAP HANA 1. Configure services 2. Configure database properties
SAP HANA System Administration	12%	- Perform system maintenance 1. Manage system lifecycle 2. Apply patches and updates - Manage system configuration 1. Manage services 2. Configure system parameters
SAP HANA Performance Optimization	16%	- Optimize system performance 1. Implement performance improvements 2. Analyze performance bottlenecks - Manage memory and resources 1. Configure memory allocation 2. Manage CPU and I/O resources
SAP HANA High Availability and Disaster Recovery	12%	- Implement disaster recovery 1. Execute disaster recovery 2. Plan for disaster recovery - Implement high availability 1. Manage failover 2. Configure system replication
SAP HANA Monitoring and Troubleshooting	12%	- Troubleshoot issues 1. Identify and resolve issues 2. Analyze logs and traces - Monitor system performance 1. Analyze performance data 2. Use monitoring tools
SAP HANA Database Administration	12%	- Manage database objects 1. Manage tables and views 2. Create and manage schemas - Manage data 1. Manage data storage 2. Import and export data
SAP HANA Security	12%	- Manage users and roles 1. Create and manage roles 2. Create and manage users - Implement security measures 1. Configure authentication 2. Configure authorization

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q26-Q31):

NEW QUESTION # 26
A regional cinema chain uses SAP HANA for ticketing analytics. The administrator reviews a recovery rehearsal after a scheduled backup change. The restore completes in the validation environment, but the recovered database timestamp is earlier than the recovery point listed in the operations policy. SAP HANA cockpit shows that backups are running, and the backup catalog includes several successful entries. A support coordinator suggests accepting the rehearsal because the database opened and reports can be queried.
The constraint is that the administrator must prove recovery to the required policy point. The team must not accept a technically usable recovered database if the selected backup sequence does not meet the expected recovery target.
Which action best resolves the recovery evidence gap?

A. Create a new data backup and replace the earlier recovery point with the new backup completion time.
B. Accept the rehearsal because the recovered database opened successfully and reports can be queried.
C. Increase backup frequency so future recovery rehearsals have more available backup entries.
D. Identify the backup sequence that reaches the required policy point, rerun the restore, and validate the recovered timestamp.

Answer: D

Explanation:
Feedback:
This addresses the recovery sequence selection layer. Selecting the backup chain that reaches the policy point and validating the recovered timestamp confirms that catalog evidence, artifact retrieval, restore execution, and recovery objective proof are aligned.

NEW QUESTION # 27
An engineering services company completes a controlled configuration change for SAP HANA administration parameters in an on-premises database. After the change, the database is running, but the administrator notices that the expected configuration value is visible in the planned change record while the active runtime view still shows the previous value. Routine checks continue to succeed, so the application coordinator asks to close the change.
The constraint is that the administrator must confirm that the intended configuration is actually active before completing the operational handover. The environment uses mixed administrative tooling, and the change record alone cannot be treated as execution evidence.
Which action should the administrator take?

A. Restart monitoring so the active runtime view can refresh without changing the database configuration state.
B. Close the change because routine checks are succeeding and the planned change record shows the intended value.
C. Update the change documentation to match the active runtime value and avoid further administrative action.
D. Determine why the configured value is not active, apply the required activation step, and validate the runtime value again.

Answer: D

Explanation:
Feedback:
This addresses the configuration activation mismatch at the correct layer. Confirming why the intended value is not active, completing the activation requirement, and validating runtime state ensures the change record and database behavior are aligned.

NEW QUESTION # 28
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?

A. Move the analyst workload completely to SAP HANA Cloud because the mixed landscape already supports that target environment.
B. Increase CPU resources first because a short response spike always indicates the current configuration is already correct but undersized.
C. Compare the recent configuration change against the affected workload pattern and adjust only the setting that is shifting performance away from interactive use.
D. Reverse the full tuning change immediately because any daytime slowdown proves the optimization attempt failed overall.

Answer: C

Explanation:
Feedback:
The evidence shows a selective trade-off, not total system degradation: overnight processing improved, but a narrow interactive workload regressed. That points to a configuration-to-workload effect. The best first step is to correlate the recent setting change with the affected workload pattern and make a scoped correction. This preserves the intended gain while fixing the specific daytime impact.

NEW QUESTION # 29
A regional equipment rental company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The transfer completes, and the cloud target can be queried through database explorer. During validation, the administrator finds that the rehearsal workbook records the source export time and target query result, but it does not record when target monitoring and backup checks were performed relative to the import. The project lead wants approval because the query result matches expectations.
The constraint is that the migration wave must prove target administration readiness for the migrated state. The validation pattern must support later migration waves without ambiguity about whether operational checks were performed before or after import.
Which recommendation is most appropriate?

A. Defer timing evidence until production cutover because the current rehearsal already proves query access.
B. Approve the rehearsal because the target query result proves that the cloud database contains usable migrated data.
C. Repeat only the source export because missing timing evidence indicates that the transfer sequence was unreliable.
D. Record post-import timing for target monitoring and backup checks, rerun any checks with unclear timing, and approve only after evidence matches the migrated state.

Answer: D

Explanation:
Feedback:
This resolves the migration validation timing issue. Recording post-import timing and rerunning unclear checks aligns transfer completion, target monitoring, backup readiness, and repeatable approval evidence.

NEW QUESTION # 30
A regional food processing company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The source export completes, and the cloud target is reachable. During validation, the administrator sees that the source database continued receiving administrative test updates after the export timestamp, while the target checks are being compared against the current source state. The project lead wants approval because the cloud target can be queried successfully.
The constraint is that the migration rehearsal must prove the transferred state against the correct source point. The team must support phased modernization without confusing post-export source changes with migration failure.
Which action should the administrator recommend?

A. Approve the rehearsal because the SAP HANA Cloud target is reachable and can be queried.
B. Treat the validation mismatch as proof that SAP HANA Cloud is not ready for this migration wave.
C. Validate the target against the recorded export point, document post-export source changes separately, and rerun comparison using the correct baseline.
D. Repeat the export immediately without recording the source point because a fresh transfer removes the comparison issue.

Answer: C

Explanation:
Feedback:
This resolves the comparison baseline issue at the migration validation layer. Using the recorded export point and separating later source changes confirms that source state, transfer evidence, target validation, and modernization decision logic are aligned.

NEW QUESTION # 31
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