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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
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 Backup and Recovery	12%	- Perform backups 1. Configure backup settings 2. Execute backups - Perform recovery 1. Execute recovery 2. Prepare for recovery
SAP HANA Security	12%	- Manage users and roles 1. Create and manage users 2. Create and manage roles - Implement security measures 1. Configure authorization 2. Configure authentication
SAP HANA System Administration	12%	- Manage system configuration 1. Configure system parameters 2. Manage services - Perform system maintenance 1. Manage system lifecycle 2. Apply patches and updates
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 High Availability and Disaster Recovery	12%	- Implement disaster recovery 1. Plan for disaster recovery 2. Execute disaster recovery - Implement high availability 1. Manage failover 2. Configure system replication
SAP HANA Monitoring and Troubleshooting	12%	- Monitor system performance 1. Analyze performance data 2. Use monitoring tools - Troubleshoot issues 1. Identify and resolve issues 2. Analyze logs and traces
SAP HANA Installation and Configuration	12%	- Install SAP HANA 1. Prepare for installation 2. Perform installation - Configure SAP HANA 1. Configure database properties 2. Configure services

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q96-Q101):

NEW QUESTION # 96
CHALLENGE 3 - Cloud Planning Evidence Separation
The leadership update needs to cover current recovery readiness and future SAP HANA Cloud reporting migration. The on-premises readiness systems have backup and monitoring evidence, while the cloud database has provisioning and sample data only. Which action best supports accurate decision-making?

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

Answer: B

Explanation:
Feedback:
The update should separate current recovery readiness from SAP HANA Cloud migration readiness. The evidence supports different lifecycle decisions and should not be merged into one conclusion.

NEW QUESTION # 97
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?

A. Keep the combined indicator because both systems are SAP HANA databases and both are currently reachable.
B. Remove availability tracking for the cloud environment until production workloads are migrated to it.
C. Use the on-premises availability status as the primary indicator until the SAP HANA Cloud migration is complete.
D. Split the availability evidence by environment and validate the source tool for each SAP HANA system status.

Answer: D

Explanation:
Feedback:
This resolves the evidence-source ambiguity at the landscape validation layer. Separating status by environment and validating the source tool confirms that availability evidence, SAP HANA target, and operational decision context are aligned.

NEW QUESTION # 98
A regional freight operator uses SAP HANA for dispatch analytics. After a storage maintenance activity, SAP HANA cockpit shows that backup scheduling is still active, but the next backup job fails with an access message for the configured backup location. The backup catalog still lists earlier successful backups, and the operations team suggests proceeding because historical backup evidence remains visible.
The constraint is that the administrator must restore backup execution readiness before the next reporting cutover. The team must not confuse catalog visibility with the ability to create and retrieve new backup artifacts after the storage change.
What should the administrator do next?

A. Accept the backup state because the catalog still displays earlier successful backup entries.
B. Validate and correct access to the configured backup location, then run and verify a new backup job.
C. Increase the backup schedule frequency so a later job can succeed without changing the storage configuration.
D. Restart SAP HANA cockpit so the failed backup status can be cleared from the monitoring view.

Answer: B

Explanation:
Feedback:
This acts on the storage access dependency that prevents backup execution. Correcting access and verifying a new backup confirms that scheduling, destination reachability, backup creation, and validation evidence are aligned after maintenance.

NEW QUESTION # 99
A regional furniture manufacturer is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The source export completes, and the cloud database can be queried after import. During review, the administrator finds that the validation workbook records successful query checks but does not show that the cloud target was added to the routine monitoring rotation used by the operations team. The project lead wants approval because the migrated data is visible.
The constraint is that the migration wave must prove that the target can be operated after import, not only queried. The validation pattern must remain repeatable for later SAP HANA Cloud migration waves.
Which recommendation is most appropriate?

A. Add the cloud target to the operations monitoring rotation, validate monitoring evidence after import, and approve only after the check passes.
B. Defer monitoring rotation setup until production cutover because query validation already proves target usability.
C. Approve the rehearsal because successful target queries prove that the imported data is available in SAP HANA Cloud.
D. Repeat the source export because missing monitoring rotation evidence indicates that the migration transfer was incomplete.

Answer: A

Explanation:
Feedback:
This completes the operational validation layer for the migrated target. Adding the cloud target to monitoring rotation and validating evidence after import aligns transfer completion, target access, monitoring coverage, and repeatable approval criteria.

NEW QUESTION # 100
A transportation enterprise is preparing an administration handover for SAP HANA while maintaining both an on-premises database and an SAP HANA Cloud target used for modernization planning. SAP HANA Cloud Central shows the cloud database as available, but database explorer checks submitted by the operations team still return results from the on-premises system. The handover document lists both environments, but the connection entry used for validation points to the older endpoint.
The constraint is that the administrator must prove the intended environment is being validated before accepting the handover. The team cannot rely on a successful query alone because both systems currently contain similar test data.
What should the administrator do first?

A. Refresh the copied test data so result differences can identify which database responded to each query.
B. Correct and verify the connection binding to the intended SAP HANA environment before using query results as validation evidence.
C. Restart the SAP HANA Cloud database so the validation query can be repeated against a newly started target.
D. Accept the handover because successful database explorer results prove that the SAP HANA database is available.

Answer: B

Explanation:
Feedback:
This resolves the upstream validation problem by aligning the connection definition with the intended SAP HANA environment. Once the binding is verified, database explorer results can be used as evidence for the correct landscape target.

NEW QUESTION # 101
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