Simulation C_DBADM_2601 Questions - C_DBADM_2601 New Questions

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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
Database Administration and Configuration	11% - 20%	- User and authorization management - Resource management and allocation - System configuration and parameters
SAP HANA Architecture and Deployment	11% - 20%	- Deployment options: on-premise and cloud - Architecture components and concepts - Installation and upgrade procedures
Migration and Integration	11% - 20%	- Migration to SAP HANA Cloud - Data movement and replication - Integration with SAP systems
Backup and Recovery	11% - 20%	- Recovery procedures and scenarios - Backup strategies and execution - High availability and disaster recovery
Monitoring and Troubleshooting	11% - 20%	- Problem diagnosis and resolution - Performance analysis and optimization - Monitoring tools and metrics
Database Security	11% - 20%	- Audit and compliance - Data protection and access control - Security settings and encryption

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Free PDF Quiz 2026 SAP C_DBADM_2601: SAP Certified - Database Administrator - SAP HANA Latest Simulation Questions

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q121-Q126):

NEW QUESTION # 121
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. Correlate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.
B. Raise the CPU alert threshold because the observed spike was brief and the database remained available.
C. Restart the database before the next planning run so the workload log starts from a clean state.
D. Ignore the workload wait interval because SAP HANA cockpit did not show a database outage.

Answer: A

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 # 122
CHALLENGE 4 - SIT Recovery Evidence Sequencing
Backups completed before SIT began for the upgraded and newly installed SAP HANA databases. The installed test database has recovery validation scheduled before the second SIT cycle, but it is not yet complete. What should happen before releasing the next SIT cycle?

A. Replace recovery validation with dashboard availability because SIT is not production.
B. Release the cycle and perform recovery validation only if the database becomes unavailable.
C. Release the cycle because completed backups are enough for integration testing continuity.
D. Complete recovery validation and document startup behavior before release approval.

Answer: D

Explanation:
Feedback:
Recovery validation and startup behavior should be documented before release approval. Backup completion supports continuity planning, but it does not prove that recovery can be executed.

NEW QUESTION # 123
A specialty manufacturing firm is planning its first SAP HANA migration wave to SAP HANA Cloud. The administrator completes a rehearsal using a limited source scope so the team can test the migration process quickly. The transfer completes, but post-migration checks show that several administration validation items were excluded because they were not part of the rehearsal scope. The project sponsor wants to use the result as approval for the production migration window.
The constraint is that the administrator must support incremental modernization without overstating what the rehearsal proved. The next decision must be based on validated migration evidence, not only on a successful limited transfer.
What should the administrator recommend?

A. Proceed with production migration and perform the excluded administration checks only after cutover.
B. Use the limited rehearsal as approval evidence because the transfer completed successfully.
C. Expand the rehearsal scope to include the missing administration validation items, then repeat validation before approving the production window.
D. Skip the remaining validation items because SAP HANA Cloud provisioning already confirms the target is ready.

Answer: C

Explanation:
Feedback:
This preserves incremental modernization while correcting the evidence gap. Expanding the rehearsal to include the missing administration validation items ensures that transfer execution and post-migration operational readiness are both proven before approval.

NEW QUESTION # 124
CHALLENGE 2 - Dispatch Simulation Monitoring Baseline
Overnight dispatch simulation reports showed variable response time, and the transportation operations lead requests tuning before the final readiness review. The monitoring baseline has not been fully captured, and some thresholds still reflect the pre-cutover reporting pattern. What should the database owner do first?

A. Apply tuning immediately because dispatch exception reporting affects shipping-cycle readiness.
B. Disable dispatch simulation alerts so the next review focuses on report completion.
C. Move the tuning decision to SAP HANA Cloud because future analytics may migrate there.
D. Capture the current monitoring baseline and validate threshold relevance before tuning.

Answer: D

Explanation:
Feedback:
The database owner should capture the baseline and validate threshold relevance before tuning. This prevents performance changes from obscuring the current cutover evidence.

NEW QUESTION # 125
A regional renewable materials company is refining its SAP HANA administration model for a mixed landscape. The on-premises database supports current analytics, while an SAP HANA Cloud environment is being prepared for a later migration wave. During a review, the administrator finds that the operations dashboard lists both systems under one generic availability indicator. SAP HANA cockpit confirms the on-premises database is available, and SAP HANA Cloud Central confirms the cloud database is running, but the indicator does not show which system each status came from.
The constraint is that the administrator must prevent operations from making environment-specific decisions from combined availability evidence. The handover must support separate operational action for each SAP HANA environment.
Which action best corrects the availability evidence problem?

A. Remove availability tracking for the cloud environment until production workloads are migrated to it.
B. Split the availability evidence by environment and validate the source tool for each SAP HANA system status.
C. Use the on-premises availability status as the primary indicator until the SAP HANA Cloud migration is complete.
D. Keep the combined indicator because both systems are SAP HANA databases and both are currently reachable.

Answer: B

Explanation:
Feedback:
This resolves the evidence-source ambiguity at the landscape validation layer. Separating status by environment and validating the source tool confirms that availability evidence, SAP HANA target, and operational decision context are aligned.

NEW QUESTION # 126
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