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SAP C-DBADM-2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: SAP HANA High Availability and Disaster Recovery	12%	- Implement disaster recovery 1. Execute disaster recovery 2. Plan for disaster recovery - Implement high availability 1. Configure system replication 2. Manage failover
Topic 2: 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
Topic 3: SAP HANA System Administration	12%	- Perform system maintenance 1. Apply patches and updates 2. Manage system lifecycle - Manage system configuration 1. Manage services 2. Configure system parameters
Topic 4: SAP HANA Performance Optimization	16%	- Manage memory and resources 1. Manage CPU and I/O resources 2. Configure memory allocation - Optimize system performance 1. Implement performance improvements 2. Analyze performance bottlenecks
Topic 5: 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
Topic 6: SAP HANA Backup and Recovery	12%	- Perform recovery 1. Execute recovery 2. Prepare for recovery - Perform backups 1. Execute backups 2. Configure backup settings
Topic 7: 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
Topic 8: SAP HANA Installation and Configuration	12%	- Configure SAP HANA 1. Configure database properties 2. Configure services - Install SAP HANA 1. Perform installation 2. Prepare for installation

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q12-Q17):

NEW QUESTION # 12
CHALLENGE 2 - Maintenance Simulation Monitoring Baseline
The database team can tune workload-related settings now to improve patient-flow analytics or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

A. Tune now and use the improved response time as the main readiness measure.
B. Reject all tuning until the SAP HANA Cloud migration phase begins.
C. Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
D. Replace monitoring review with clinical operations feedback because the dashboard is business-facing.

Answer: C

Explanation:
Feedback:
Preserving baseline monitoring evidence first is most defensible because tuning should follow current evidence. This balances performance improvement with reliable readiness evidence for later comparison.

NEW QUESTION # 13
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. Separate current recovery readiness from SAP HANA Cloud migration readiness in the update.
B. Treat cloud provisioning as proof that the migration stream is ready for reporting transition.
C. Delay readiness sign-off until SAP HANA Cloud carries the same patient-flow workload.
D. Combine all evidence into one readiness status so the leadership update is easier to read.

Answer: A

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 # 14
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?

A. Update the recovery sequence so it reflects the current operational order and validate that the documented steps still support the required recovery objective.
B. Start the resilience test anyway because successful backup completion is the main indicator of recovery readiness.
C. Create another full backup immediately because a fresher backup point reduces the effect of any documentation gap.
D. Postpone all recovery testing until the entire mixed-landscape continuity approach can be rewritten from the ground up.

Answer: A

Explanation:
Feedback:
The issue is not missing backups. The observable gap is that the documented recovery sequence no longer matches the current operational order after an administration change. Recovery readiness depends on both valid backup assets and a valid execution sequence. Updating the sequence and validating that it still meets the recovery objective closes the immediate continuity risk without expanding scope too far.

NEW QUESTION # 15
CHALLENGE 3 - Cloud Modernization Evidence Boundary
The leadership update needs to cover current hypercare readiness and future SAP HANA Cloud reporting migration. The on-premises hypercare systems have backup and monitoring evidence, while the cloud database has provisioning and sample data only. Which action best supports accurate decision-making?

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

Answer: A

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

NEW QUESTION # 16
A regional scientific instruments company is planning an incremental migration rehearsal from SAP HANA on-premises to SAP HANA Cloud. The source system export completes, and the cloud target is reachable in database explorer. Before import approval, the administrator discovers that the migration worksheet records the target connection test but does not record whether the target administration baseline was captured before loading migrated data. The project lead wants to continue because target access is confirmed.
The constraint is that the rehearsal must preserve a clean before-and-after comparison for the cloud target. The team must be able to distinguish pre-import target readiness from post-import migrated-state validation.

A. Repeat the source export because missing target baseline evidence means the source data is unreliable.
B. Defer the target baseline until after import because the migrated state is the only state that matters for approval.
C. Capture the target administration baseline before import, then record post-import validation separately for the migrated state.
D. Continue with import because database explorer confirms the SAP HANA Cloud target is reachable.

Answer: C

Explanation:
Feedback:
This resolves the migration validation sequencing gap. Capturing the pre-import administration baseline and recording post-import evidence separately aligns target readiness, import execution, migrated-state validation, and repeatable migration controls.

NEW QUESTION # 17
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