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SAP C_DBADM Exam Syllabus Topics:

Section	Objectives
User and Security Management	- Authorization concepts - User provisioning and role management - Security best practices in SAP HANA
Performance Monitoring and Tuning	- Workload and resource management - Performance analysis and optimization - System monitoring tools
SAP HANA Architecture and Administration	- SAP HANA system architecture components - System landscape overview - Installation and initial configuration
High Availability and Disaster Recovery	- Failover and recovery strategies - System replication concepts
Database Operations and Data Provisioning	- Data provisioning methods (SDI, SLT) - Replication and data synchronization - Backup and recovery procedures

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C_DBADM SAP Certified - Database Administrator - SAP HANA Web-Based Practice Exam

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q192-Q197):

NEW QUESTION # 192
<strong>CHALLENGE 4 — Receipt-to-Invoice Continuity During Transition Weekend</strong> During overlap-period rehearsal, one plant shows clean invoice continuity for goods received near the transition weekend, while another plant shows less stable invoice results for comparable procurement cases. Reviewers find that the weaker cases were prepared under different upstream source, purchasing, and receipt assumptions. What is the best next action?

A. ove all overlap-period invoice handling to local finance teams so cases can be resolved faster
B. gnore plant differences and validate only the aggregate invoice completion count for the weekend
C. lign upstream sequence assumptions and repeat receipt-to-invoice rehearsal for representative overlap-period cases
D. ncrease invoice-processing speed targets so both plants complete more transactions before comparison

Answer: C

Explanation:
Feedback:
The scenario identifies invoice instability as a downstream effect of earlier sequence differences. Repeating representative cases after aligning source, purchasing, and receipt assumptions addresses the second-order dependency and tests whether continuity is truly stable.

NEW QUESTION # 193
<strong>CHALLENGE 2 — Traceability Workload Monitoring Baseline</strong> Late-shift lot-history aggregation shows variable response time during rollout testing. The plant operations manager asks for tuning before the next checkpoint, but the current monitoring baseline has not yet been captured. What should the database owner do first?

A. isable late-shift monitoring so the next checkpoint focuses only on report completion.
B. apture the monitoring baseline and validate threshold relevance before approving tuning.
C. pply tuning immediately because late-shift reporting volume is business critical.
D. ove the tuning decision to SAP HANA Cloud because analytics modernization is planned.

Answer: B

Explanation:
Feedback:
The database owner should capture the monitoring baseline and validate thresholds before tuning. This keeps the rollout evidence reliable before any performance change alters the observed state.

NEW QUESTION # 194
A regional furniture manufacturer uses SAP HANA for production-demand analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays a short CPU spike during the planning run while the workload log shows a longer query wait interval. Users reported slow report refreshes at the same time. A coordinator suggests raising the CPU alert threshold because the spike was brief.
The constraint is that the administrator must determine whether the user delay is related to workload wait behavior before changing monitoring thresholds. The next planning run must remain observable with evidence that can support troubleshooting.
Which action best supports the troubleshooting decision?

A. gnore the workload wait interval because SAP HANA cockpit did not show a database outage.
B. estart the database before the next planning run so the workload log starts from a clean state.
C. orrelate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.
D. aise the CPU alert threshold because the observed spike was brief and the database remained available.

Answer: C

Explanation:
Feedback:
This addresses the evidence-correlation layer. Aligning CPU behavior, query wait timing, and user impact supports a valid troubleshooting conclusion before any monitoring threshold or configuration decision is made.

NEW QUESTION # 195
A regional telecom support center performs a planned parameter adjustment for SAP HANA administration. After the change, SAP HANA starts normally and the database remains available. However, an administrator reviewing active settings notices that the parameter appears in the persisted configuration record but is not reflected in the active runtime state used by current sessions. Routine application checks still succeed, so the service desk wants to close the activity.
The constraint is that the administrator must prove that the approved configuration is active, not only stored. The environment must remain available, and any follow-up action must target the configuration activation gap rather than unrelated application behavior.
Which action best resolves the configuration validation issue?

A. lose the activity because successful routine checks prove that the configuration change is operationally harmless.
B. hange the persisted configuration record back to the old value because the runtime state already reflects stable operation.
C. un a backup immediately and use successful backup completion as evidence that the configuration is valid.
D. alidate the activation requirement for the changed parameter, apply the required activation step, and recheck the active runtime state.

Answer: D

Explanation:
Feedback:
This targets the configuration activation layer where the mismatch exists. Confirming the activation requirement, completing it, and rechecking runtime state proves that persisted configuration and active database behavior are aligned.

NEW QUESTION # 196
A regional consumer electronics repair company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The migration tool completes the transfer, and database explorer confirms that representative queries return expected values on the cloud target. During validation, the administrator sees that the source system was monitored during export, but the cloud target was not included in the routine backup validation checklist after import. The project lead wants approval because data access was confirmed.
The constraint is that the migration wave must prove the cloud target can be operated after import. The approval evidence must include resilience readiness for the migrated state, not only query validation.
Which recommendation is most appropriate?

A. pprove the rehearsal because representative cloud queries returned expected values after the transfer.
B. epeat the full transfer because missing target backup validation proves the migrated data was not imported correctly.
C. efer cloud backup validation until production cutover because the rehearsal already confirmed target query access.
D. dd the cloud target to the post-import backup validation checklist, run the validation for the migrated state, and approve only after evidence is recorded.

Answer: D

Explanation:
Feedback:
This completes the target resilience validation layer after import. Adding the cloud target to backup validation and recording evidence aligns transfer completion, migrated-state operation, resilience readiness, and repeatable approval criteria.

NEW QUESTION # 197
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