2026 Unparalleled SAP C-DBADM-2601: SAP Certified - Database Administrator - SAP HANA Certification Questions

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SAP C-DBADM-2601 Exam Syllabus Topics:

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

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

NEW QUESTION # 96
A regional public transit operator runs SAP HANA on-premises for ridership analytics and has a separate SAP HANA Cloud evaluation instance for future reporting modernization. During an operations handover, the administrator finds that the support matrix lists both environments under one administrator contact and one validation checklist. SAP HANA cockpit evidence exists for the on-premises workload, while SAP HANA Cloud Central evidence exists for the evaluation instance.
The constraint is that first-level support must route operational incidents correctly without confusing active production administration with cloud evaluation readiness. The support matrix must remain useful for both environments.
Which action best corrects the support matrix?

A. Remove the SAP HANA Cloud evaluation instance until it becomes the active reporting environment.
B. Keep one support matrix entry because both systems are administered within the SAP HANA database administration scope.
C. Assign all incidents to the cloud evaluation contact because modernization planning is already in progress.
D. Separate the support matrix entries by active on-premises workload and SAP HANA Cloud evaluation instance, with each mapped to its own validation evidence.

Answer: D

Explanation:
Feedback:
This corrects the environment-role mapping at the support and validation layer. Separating active workload administration from cloud evaluation readiness aligns incident routing, evidence source, operational responsibility, and later modernization tracking.

NEW QUESTION # 97
CHALLENGE 2 - Restoration Simulation Monitoring Baseline
A performance specialist suggests applying tuning before preserving baseline evidence because the second UAT run needs better response time. The database owner is concerned about later release comparison. Which decision is most appropriate?

A. Cancel the second UAT run until all performance variability is eliminated.
B. Use SAP HANA Cloud test results to replace on-premises monitoring evidence.
C. Preserve the current baseline, then document any tuning as a controlled follow-on change.
D. Apply tuning first and document the original baseline as unavailable.

Answer: C

Explanation:
Feedback:
The current baseline should be preserved before tuning is documented as a controlled follow-on change. This keeps release comparison evidence understandable while still allowing performance improvement when justified.

NEW QUESTION # 98
CHALLENGE 2 - Replenishment Analytics Monitoring Baseline
The database team can either tune memory-related settings now to improve evening replenishment analytics or first preserve baseline monitoring evidence and tune only if current evidence supports it. Which option is most defensible?

A. Tune now and use the improved replenishment runtime as the remediation success measure.
B. Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
C. Replace monitoring review with merchandising user feedback because the reports are business-facing.
D. Reject all tuning until all store analytics reporting moves to SAP HANA Cloud.

Answer: B

Explanation:
Feedback:
Preserving the monitoring baseline first is most defensible because tuning should follow current evidence. This balances reporting performance needs with reliable remediation evidence for later regional comparison.

NEW QUESTION # 99
A regional public transit operator maintains SAP HANA for ridership analytics while preparing an SAP HANA Cloud environment for a later modernization wave. During an administration review, the architecture register lists both environments under one "database platform" entry. SAP HANA cockpit confirms the on-premises database is available, and SAP HANA Cloud Central confirms the cloud database is running, but the register does not identify which administration tasks belong to the active workload and which belong to the cloud rehearsal path.
The constraint is that the administrator must make the architecture register usable for operational decisions without changing the landscape. The handover must clearly distinguish current administration scope from future migration readiness.
Which action best improves the architecture register?

A. Use the on-premises entry as the controlling architecture record because it supports the current production analytics workload.
B. Keep one platform entry because both systems are SAP HANA databases and both are reachable through SAP administration tools.
C. Remove the SAP HANA Cloud entry until the cloud environment hosts the active ridership analytics workload.
D. Separate the register entries by SAP HANA environment, administration purpose, and evidence source before approving handover.

Answer: D

Explanation:
Feedback:
This resolves the landscape classification gap at the architecture evidence layer. Separating entries by environment, purpose, and evidence source confirms that current administration and migration readiness are validated against the correct SAP HANA target.

NEW QUESTION # 100
A regional healthcare supply wholesaler runs SAP HANA for distribution analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays normal response time while a workload review shows a short queue increase during invoice analytics processing. Users reported a delay during the same interval. The support lead suggests increasing response-time thresholds because the dashboard did not show a severe issue.
The constraint is that the administrator must explain the delay using consistent monitoring evidence before changing thresholds. The next invoice analytics cycle must remain observable without masking the symptom.
Which action best supports correct troubleshooting?

A. Restart SAP HANA before the next invoice analytics cycle to reset both response-time and queue measurements.
B. Compare the dashboard interval with workload queue evidence, validate the timing relationship, and investigate the queue source before changing thresholds.
C. Ignore the workload queue increase because the operations dashboard showed normal response time.
D. Increase response-time thresholds so minor delays no longer appear as operational concerns.

Answer: B

Explanation:
Feedback:
This addresses the monitoring correlation layer. Aligning dashboard timing with queue evidence and investigating the queue source connects user symptom, workload behavior, monitoring interpretation, and any later configuration decision.

NEW QUESTION # 101
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