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SAP C-DBADM-2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 2: SAP HANA Security	12%	- Implement security measures 1. Configure authorization 2. Configure authentication - Manage users and roles 1. Create and manage users 2. Create and manage roles
Topic 3: SAP HANA Installation and Configuration	12%	- Install SAP HANA 1. Perform installation 2. Prepare for installation - Configure SAP HANA 1. Configure services 2. Configure database properties
Topic 4: SAP HANA Performance Optimization	16%	- Manage memory and resources 1. Configure memory allocation 2. Manage CPU and I/O resources - Optimize system performance 1. Analyze performance bottlenecks 2. Implement performance improvements
Topic 5: 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 6: SAP HANA Monitoring and Troubleshooting	12%	- Troubleshoot issues 1. Identify and resolve issues 2. Analyze logs and traces - Monitor system performance 1. Use monitoring tools 2. Analyze performance data
Topic 7: SAP HANA Database Administration	12%	- Manage data 1. Import and export data 2. Manage data storage - Manage database objects 1. Create and manage schemas 2. Manage tables and views
Topic 8: 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

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q166-Q171):

NEW QUESTION # 166
CHALLENGE 3 - Cloud Modernization Evidence Boundary
The modernization lead wants the SAP HANA Cloud database included in the same readiness status because it is provisioned and has a limited outage analytics dataset. The cloud environment has not completed the startup, monitoring, or recovery evidence package used for active hypercare systems. What is the best response?

A. Use the upgraded service reporting system's monitoring record as the SAP HANA Cloud readiness record.
B. Include the cloud database in the same status because provisioning and sample data show progress.
C. Stop cloud planning until the current hypercare readiness decision is fully completed.
D. Keep cloud modernization evidence separate until cloud-specific administration validation is completed.

Answer: D

Explanation:
Feedback:
Cloud modernization evidence should remain separate until cloud-specific administration validation is completed. Provisioning and sample data support planning, but they do not equal active hypercare readiness.

NEW QUESTION # 167
CHALLENGE 2 - Restoration Simulation Monitoring Baseline
The UAT team has two viable actions: tune memory-related settings now to improve restoration analytics, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

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

Answer: A

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

NEW QUESTION # 168
A regional event management company runs SAP HANA for ticket sales analytics. SAP HANA cockpit shows the database as available, but the operations team observes that statement-level troubleshooting evidence is missing for one reporting window. The general performance dashboard shows a brief response-time increase, while the detailed statement history has no entries for the affected period. A support coordinator proposes adjusting report schedules because the dashboard indicates a slowdown.
The constraint is that the administrator must validate the diagnostic evidence path before changing workload timing. The next reporting window must remain available while the team confirms why detailed statement evidence was not captured.
Which action best addresses the troubleshooting gap?

A. Change the report schedule immediately because the response-time increase proves the workload timing is wrong.
B. Restart SAP HANA before the next window so the detailed statement history starts with a clean monitoring state.
C. Verify the statement-history collection path for the affected period, correct the collection issue, and validate captured evidence in the next window.
D. Ignore the issue because the database remained available and only detailed troubleshooting evidence was missing.

Answer: C

Explanation:
Feedback:
This targets the diagnostic collection layer where the artifact is incomplete. Correcting and validating statement-history capture links the performance symptom, evidence collection, troubleshooting analysis, and subsequent decision path.

NEW QUESTION # 169
A packaging manufacturer performs a controlled SAP HANA administration change before a weekend reporting cycle. After the activity, the database starts and SAP HANA cockpit shows normal availability. During validation, the administrator sees that a scheduled administrative check still uses the previous configuration value even though the new value appears in the saved configuration record. The operations supervisor wants to close the change because no current user sessions are failing.
The constraint is that the administrator must confirm that scheduled administration will execute with the approved configuration. The validation must focus on the configuration state used during execution, not only current database availability.
What should the administrator do before closing the change?

A. Manually update the change record to show that the previous configuration remains the operational baseline.
B. Validate why the scheduled check still reads the old value, activate the approved configuration where required, and rerun the administrative check.
C. Wait for the weekend reporting cycle to complete and review whether users report any effect from the configuration mismatch.
D. Close the change because active users are not reporting failures after the database restart.

Answer: B

Explanation:
Feedback:
This addresses the configuration-to-execution gap at the correct layer. Activating the approved value where required and rerunning the administrative check confirms that saved configuration, runtime use, and scheduled validation are aligned.

NEW QUESTION # 170
A regional healthcare analytics team uses SAP HANA for overnight reporting. SAP HANA cockpit shows normal database availability, but the monitoring dashboard has not updated several performance indicators since the previous evening. Users can still run reports, and no service outage is visible. A support analyst suggests ignoring the stale indicators because the database is responding to queries.
The constraint is that the administrator must restore trustworthy monitoring before the next overnight reporting cycle. The team needs evidence that monitoring data reflects the current system state, not only that the database can execute user requests.
Which action best addresses the monitoring issue?

A. Approve the next cycle because successful report execution proves that monitoring data is not required.
B. Increase alert thresholds until the stale indicators no longer affect operational review decisions.
C. Restart user reporting sessions so the dashboard can display fresh performance values from new executions.
D. Investigate the monitoring collection state, correct the collection gap, and validate that current indicators update before the next cycle.

Answer: A

Explanation:
Feedback:
This targets the monitoring data collection layer where the observable artifact exists. Correcting the collection gap and validating current indicator updates ensures that monitoring evidence, system state, and operational readiness are aligned.

NEW QUESTION # 171
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