C_DBADM_2601 echter Test & C_DBADM_2601 sicherlich-zu-bestehen & C_DBADM_2601 Testguide

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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Objectives
SAP HANA Architecture and Core Concepts	- In-memory database concepts - SAP HANA system architecture overview - Tenant and system database concepts
Security and Authorization	- Authentication and authorization concepts - Security roles and privileges
Monitoring and Performance Tuning	- System monitoring tools (HANA Cockpit) - Resource management - Performance analysis and troubleshooting
Database Administration	- Schema and object administration - User and role management - Backup and recovery operations
Installation and Configuration	- Initial configuration and setup - SAP HANA installation procedures

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C_DBADM_2601 Prüfungsvorbereitung - C_DBADM_2601 Prüfungs

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SAP Certified - Database Administrator - SAP HANA C_DBADM_2601 Prüfungsfragen mit Lösungen (Q136-Q141):

136. Frage
A regional rail services company uses SAP HANA for maintenance planning analytics. The administrator reviews recovery readiness after a backup configuration update. SAP HANA cockpit shows a recent successful data backup, and log backups are being created. During validation, the recovery checklist shows that the log backup location recorded for restore operations differs from the active log backup destination now used by the system. The operations team suggests approving readiness because both data and log backups exist.
The constraint is that the administrator must prove that restore procedures reference the active backup locations before accepting recovery readiness. The team must avoid a situation where backups exist but the documented recovery path cannot retrieve them.
What should the administrator do next?

A. Disable log backup creation until the documented restore location and active destination match again.
B. Create another data backup and use its catalog entry as the primary recovery evidence.
C. Approve recovery readiness because the system has recent data and log backup artifacts.
D. Update and validate the recovery checklist against the active log backup destination, then rerun restore-path validation.

Antwort: D

Begründung:
Feedback:
This resolves the restore-path mismatch at the recovery procedure layer. Updating and validating the checklist against the active destination confirms that backup creation, location documentation, retrieval path, and restore validation are aligned.

137. Frage
CHALLENGE 1 - Recovery Review Configuration Traceability
During recovery readiness review, scheduling test users can open appointment backlog reports from both SAP HANA systems. The newly installed validation database has its active configuration documented, but the upgraded reporting system has one post-upgrade value recorded only in a maintenance handover log. What should the administrator do before accepting the readiness comparison?

A. Reconcile the handover-log value into the upgraded system's current administration record.
B. Accept the comparison because both systems return the required reports during review.
C. Continue the review and check the handover log only if users report inconsistent results.
D. Remove the documented value from the validation database record so both systems appear aligned.

Antwort: A

Begründung:
Feedback:
The administrator should reconcile the handover-log value into the current administration record before accepting the comparison. Report access does not prove that both SAP HANA systems are being evaluated against documented active states.

138. Frage
CHALLENGE 3 - Freight Cloud Readiness Boundary
The project team wants to approve cloud migration planning using three facts: the SAP HANA Cloud database is provisioned, freight sample data is loaded, and on-premises cutover reports run successfully. Which validation step is still required?

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

Antwort: A

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

139. Frage
CHALLENGE 2 - Simulation Monitoring Baseline Control
The team has two possible actions before the second SIT run: tune the database now to improve simulation runtime, or first preserve monitoring evidence and then tune if the evidence supports it. Which action is most defensible?

A. Reject all tuning until the airport analytics migration to SAP HANA Cloud is completed.
B. Replace monitoring evidence with business user feedback from the simulation session.
C. Preserve the monitoring baseline first, then approve tuning only if current evidence supports it.
D. Tune now and use the improved simulation runtime as the only rollout readiness measure.

Antwort: C

Begründung:
Feedback:
Preserving the monitoring baseline first is most defensible because tuning should follow current evidence. This balances performance improvement with reliable administration evidence for SIT decisions.

140. Frage
CHALLENGE 2 - Traceability Workload Monitoring Baseline
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. Move the tuning decision to SAP HANA Cloud because analytics modernization is planned.
B. Apply tuning immediately because late-shift reporting volume is business critical.
C. Capture the monitoring baseline and validate threshold relevance before approving tuning.
D. Disable late-shift monitoring so the next checkpoint focuses only on report completion.

Antwort: C

Begründung:
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.

141. Frage
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