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SAP C_DBADM Exam Syllabus Topics:

Section	Weight	Objectives
Backup and Recovery	11-20%	- Backup strategies and scheduling - Full, incremental and log backups - Recovery and point-in-time restore
Database Administration	11-20%	- Using SAP HANA Cockpit and Studio - System startup and shutdown - Daily operational tasks
Database Security & User Management	11-20%	- Authentication and authorization - Encryption and audit policies - User and role creation
Provisioning SAP HANA	11-20%	- Sizing and installation - Upgrade and patching procedures - System configuration and parameters
Monitoring & Troubleshooting	11-20%	- Diagnosing and resolving issues - System health monitoring - Performance analysis and tuning
SAP HANA Architecture	11-20%	- System components and layered architecture - Persistence and in-memory processing - Deployment options (on-premise / cloud)

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q202-Q207):

NEW QUESTION # 202
A regional sports merchandise company runs SAP HANA for order trend analytics. SAP HANA cockpit shows the database as available, but the operations team notices that one monitoring view reports normal CPU behavior while another workload history view shows a short spike during the same reporting interval. Users report that dashboards were slow only during that interval. A support analyst proposes increasing capacity because the workload history view shows a peak.
The constraint is that the administrator must reconcile conflicting monitoring evidence before recommending a configuration or capacity change. The next reporting cycle must remain available while the cause is validated.
Which action best fits the observed monitoring conflict?

A. ompare the monitoring time windows and workload evidence, identify the source of the spike, and apply a targeted correction only after validation.
B. gnore the workload history because the current CPU monitoring view shows normal behavior.
C. ncrease capacity immediately because any workload spike proves that the database is under-provisioned.
D. estart SAP HANA before the next reporting cycle so both monitoring views begin from the same runtime state.

Answer: A

Explanation:
Feedback:
This resolves the evidence conflict at the monitoring interpretation layer. Aligning time windows and workload records supports a targeted correction that connects observed performance, resource behavior, and validation before the next cycle.

NEW QUESTION # 203
<strong>CHALLENGE 2 — Restoration Simulation Monitoring Baseline</strong> 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. reserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
B. eplace monitoring review with field manager feedback because the dashboard is user-facing.
C. une now and use the improved response time as the main release readiness measure.
D. eject all tuning until the SAP HANA Cloud migration phase begins.

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 # 204
A regional chemicals distributor is preparing an SAP HANA installation handover for a newly built on-premises administration environment. The installation process completed, and the database starts successfully. During handover review, the administrator finds that the installation record confirms software setup but does not include evidence that backup scheduling and monitoring checks were enabled for the new system. The infrastructure lead wants to accept the environment because startup was successful.
The constraint is that the administrator must confirm the installed system is ready for routine administration before handover. The decision must include post-installation operational controls, not only installation completion.
Which action best supports the handover decision?

A. nable and validate the required backup scheduling and monitoring checks, then accept the installation handover only after those controls are confirmed.
B. ccept the handover because installation completion and successful startup prove the new SAP HANA system is ready.
C. un a second database startup and use the repeated startup result as evidence that administration controls are ready.
D. efer backup and monitoring setup until business users begin reporting from the new database.

Answer: A

Explanation:
Feedback:
This completes the post-installation administration layer before operational acceptance. Validating backup scheduling and monitoring checks confirms that installation, startup, routine administration controls, and handover evidence are aligned.

NEW QUESTION # 205
<strong>CHALLENGE 2 — Release Control Timing for Urgent Replenishment Orders</strong> Timed execution runs show that urgent replenishment orders for short-shelf-life ingredients move fast enough in one plant only when approval handling is lighter than the common cutover model. The central support team wants early live operations to remain interpretable across all sites. What should the validation team do next?

A. eep the lighter local approval route because urgent food materials require the fastest possible progression
B. ompare whether urgent-order timing remains acceptable under restored common approval handling before approving any local variation
C. llow each plant to define its own urgent-order release behavior for the first operating week
D. emove urgent replenishment orders from cutover rehearsal and validate them after go-live stabilization

Answer: B

Explanation:
Feedback:
The decision space is between operational speed and a repeatable approval structure that central support can govern. The team should first test whether the common release model can still meet cutover timing before accepting local deviations.

NEW QUESTION # 206
A regional food processing company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The source export completes, and the cloud target is reachable. During validation, the administrator sees that the source database continued receiving administrative test updates after the export timestamp, while the target checks are being compared against the current source state. The project lead wants approval because the cloud target can be queried successfully.
The constraint is that the migration rehearsal must prove the transferred state against the correct source point. The team must support phased modernization without confusing post-export source changes with migration failure.
Which action should the administrator recommend?

A. alidate the target against the recorded export point, document post-export source changes separately, and rerun comparison using the correct baseline.
B. pprove the rehearsal because the SAP HANA Cloud target is reachable and can be queried.
C. reat the validation mismatch as proof that SAP HANA Cloud is not ready for this migration wave.
D. epeat the export immediately without recording the source point because a fresh transfer removes the comparison issue.

Answer: A

Explanation:
Feedback:
This resolves the comparison baseline issue at the migration validation layer. Using the recorded export point and separating later source changes confirms that source state, transfer evidence, target validation, and modernization decision logic are aligned.

NEW QUESTION # 207
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