100% Pass 2026 Pass-Sure C_DBADM_2601: Reliable SAP Certified - Database Administrator - SAP HANA Test Objectives

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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
SAP HANA Installation and Configuration	12%	- Configure SAP HANA 1. Configure database properties 2. Configure services - Install SAP HANA 1. Prepare for installation 2. Perform installation
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 System Administration	12%	- Perform system maintenance 1. Apply patches and updates 2. Manage system lifecycle - Manage system configuration 1. Configure system parameters 2. Manage services
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 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 Monitoring and Troubleshooting	12%	- Troubleshoot issues 1. Analyze logs and traces 2. Identify and resolve issues - Monitor system performance 1. Use monitoring tools 2. Analyze performance data
SAP HANA Database Administration	12%	- Manage database objects 1. Create and manage schemas 2. Manage tables and views - Manage data 1. Import and export data 2. Manage data storage
SAP HANA Security	12%	- Implement security measures 1. Configure authentication 2. Configure authorization - 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 (Q27-Q32):

NEW QUESTION # 27
A digital publishing company operates SAP HANA for subscriber activity reporting. Users report that dashboards are available, but refresh times vary sharply during the morning reporting window. SAP HANA cockpit shows no service outage, while monitoring history shows a recurring peak in expensive statement activity from a reporting workload. The database team is asked to increase system capacity immediately because the reports are business-critical.
The constraint is that the administrator must identify the execution pattern before recommending a capacity or scheduling change. The business requires stable refresh times, but the system must remain available during investigation.
Which action best fits the observed performance evidence?

A. Review the expensive statement pattern and workload timing, then apply a targeted scheduling or workload adjustment based on validated evidence.
B. Disable the reporting workload until the next maintenance window so all expensive statements are removed from the system.
C. Increase capacity immediately because dashboard variability always indicates insufficient database resources.
D. Restart SAP HANA during the reporting window so existing expensive statements are cleared before users refresh dashboards.

Answer: A

Explanation:
Feedback:
This acts on the monitored execution evidence before changing the operating model. Reviewing expensive statement behavior and timing supports a targeted correction that links workload activity, resource use, and dashboard refresh validation.

NEW QUESTION # 28
A regional publishing company uses SAP HANA for subscription analytics. SAP HANA cockpit shows the database as available, but a monitoring review shows that disk usage trend values are frozen from the previous day. Current user reports still complete successfully, and no availability alert is active. The weekend batch window depends on capacity trend evidence to confirm that enough space remains for expected workload growth.
The constraint is that the administrator must restore current capacity visibility before the weekend batch window. The team must not rely on database availability alone when the trend data used for operational readiness is stale.
Which response best addresses the monitoring artifact?

A. Restart the reporting workload so disk usage trend values can refresh during the next report execution.
B. Approve the weekend batch window because current reports complete and no availability alert is active.
C. Increase storage capacity immediately because stale disk trend values prove that the database is running out of space.
D. Correct the monitoring collection issue for disk usage trends and validate current values before approving the batch window.

Answer: D

Explanation:
Feedback:
This targets the monitoring collection layer where the artifact is stale. Correcting collection and validating current values aligns capacity evidence, operational readiness, batch approval, and monitoring reliability.

NEW QUESTION # 29
A regional cold-chain logistics company uses SAP HANA for delivery temperature analytics in an on-premises environment. After a planned database start, SAP HANA cockpit shows the database as available. During validation, the administrator notices that an administration setting was updated in the documented configuration sheet, but the active runtime check still shows the previous value. Scheduled monitoring continues to run, so the operations coordinator wants to close the task.
The constraint is that the administrator must prove the configured value is active in runtime before closure. The team must not rely on documentation alone when the observable runtime state still shows a mismatch.
What should the administrator do to resolve the configuration state mismatch?

A. Close the task because scheduled monitoring continues and SAP HANA cockpit shows database availability.
B. Restart scheduled monitoring so it can use the documented configuration value during the next cycle.
C. Update the documentation again so the configuration sheet clearly shows the intended setting.
D. Apply or activate the setting in the correct runtime context, then validate that the active value matches the approved configuration.

Answer: D

Explanation:
Feedback:
This addresses the configuration activation layer directly. Applying or activating the setting in the correct runtime context and validating the active value aligns documented intent, runtime configuration, execution behavior, and closure evidence.

NEW QUESTION # 30
CHALLENGE 3 - Cloud Migration Readiness Separation
The project team wants to approve cloud migration planning using three facts: the SAP HANA Cloud database is provisioned, limited activation data is loaded, and on-premises UAT reports run successfully. Which validation step is still required?

A. Confirm cloud administration readiness evidence for the limited activation dataset scope.
B. Stop on-premises UAT validation because the future reporting direction is cloud-based.
C. Treat the limited dataset as proof that cloud monitoring and recovery evidence are complete.
D. Approve migration planning because the three facts cover the full readiness chain.

Answer: A

Explanation:
Feedback:
Cloud administration readiness evidence is still required for the limited activation dataset scope. Provisioning and data loading support planning, but they do not complete cloud readiness validation.

NEW QUESTION # 31
CHALLENGE 4 - Receipt-to-Invoice Continuity During Transition Weekend
The finance team proposes a quicker overlap approach: allow local exception handling during the transition weekend so invoices can be settled faster, even if the route differs slightly by plant. The transition office wants a result that remains supportable after go-live. Which action is best aligned with the scenario?

A. Validate only goods receipt
B. Accept local exception handling because transition weekends should prioritize speed over continuity
C. Suspend invoice validation during the weekend and rely on post-go-live cleanup for any unsettled cases
D. Retain the stricter receipt-to-invoice sequence and validate whether finance traceability remains intact under overlap-period conditions

Answer: D

Explanation:
Feedback:
The scenario places finance traceability and overlap-period stability at the center of go-live readiness. Retaining the stricter end-to-end sequence preserves the evidence needed to confirm that invoice handling remains supportable during transition.

NEW QUESTION # 32
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