C_DBADM_2601対応問題集、C_DBADM_2601日本語認定

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SAP C_DBADM_2601 Exam Syllabus Topics:

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

>> C_DBADM_2601対応問題集 <<

C_DBADM_2601日本語認定、C_DBADM_2601試験情報

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SAP Certified - Database Administrator - SAP HANA 認定 C_DBADM_2601 試験問題 (Q91-Q96):

質問 # 91
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. Increase capacity immediately because any workload spike proves that the database is under-provisioned.
B. Compare the monitoring time windows and workload evidence, identify the source of the spike, and apply a targeted correction only after validation.
C. Restart SAP HANA before the next reporting cycle so both monitoring views begin from the same runtime state.
D. Ignore the workload history because the current CPU monitoring view shows normal behavior.

正解：B

解説：
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.

質問 # 92
An engineering services firm uses an on-premises SAP HANA system for daily operational processing and a separate SAP HANA Cloud database for project analytics. After a controlled stop and start sequence during maintenance, administrators confirm that the main instance is reachable again. However, one scheduled post-maintenance validation still fails because the target database remains inactive for application use even though general service status looks normal.
A colleague proposes restarting the full system one more time to clear any remaining inconsistency. The maintenance coordinator wants the smallest corrective action that restores the required database state without disturbing healthy components that are already back online.
What should the administrator do next?

A. Repeat a full instance restart because service availability suggests only a temporary post-maintenance inconsistency remains.
B. Run an immediate full backup first so that any further administration action occurs only after a new protection point is created.
C. Validate the operational state of the specific database and activate only that database if its state does not match the required post-maintenance target.
D. Delay the validation until the next cycle because the main instance is already reachable and broad service recovery has been achieved.

正解：C

解説：
Feedback:
This is a state-mismatch scenario. The instance is reachable, but the required database is still not in the correct operational state for application validation. The right sequence is to verify the state of the affected database and activate that database only if needed. That aligns action scope with the actual problem.

質問 # 93
CHALLENGE 2 - Traceability Workload Monitoring Baseline
The database team can either tune memory-related settings now to improve late-shift traceability reporting or first preserve baseline monitoring evidence and tune only if the evidence supports it. Which option is most defensible?

A. Replace monitoring review with supervisor feedback because the reports are business-facing.
B. Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
C. Tune now and use the improved late-shift response time as the rollout readiness result.
D. Reject all tuning until every plant has moved to SAP HANA Cloud reporting.

正解：B

解説：
Feedback:
Preserving the monitoring baseline first is most defensible because tuning should follow current evidence. This balances performance improvement with the need for reliable rollout evidence across future plant waves.

質問 # 94
CHALLENGE 1 - Cutover Configuration Evidence Traceability
During cutover readiness rehearsal, warehouse test users can open freight capacity reports from both SAP HANA systems. The installed validation database has its active configuration documented, but the upgraded distribution reporting system has one stabilization value recorded only in monitoring notes. What should the administrator do before accepting the cutover comparison?

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

正解：B

解説：
Feedback:
The administrator should reconcile the stabilization 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.

質問 # 95
A regional nonprofit services provider uses SAP HANA for daily service utilization reporting. SAP HANA cockpit shows that a memory-related alert rule is triggered during the early reporting window, but the operations mailbox does not receive the expected notification. The database remains available, and dashboard users do not report failures. During review, the administrator notices that the alert appears in the monitoring view, but the notification assignment used by the operations team was not confirmed after a recent administration cleanup.
The constraint is that the administrator must restore reliable alert handling before the next reporting window. The team needs proof that monitoring detection and notification delivery are both working, not only that the alert is visible in cockpit.
Which action best addresses the alert handling gap?

A. Close the alert because SAP HANA cockpit already displays it and the database remains available for reporting users.
B. Verify the notification assignment for the triggered alert, correct the missing assignment, and validate that a new alert event reaches operations.
C. Increase the alert threshold so the memory-related event occurs less often during the reporting window.
D. Restart the database so alert rules and notification assignments are reloaded during the next startup cycle.

正解：B

解説：
Feedback:
This acts at the alert routing layer where detection and notification must be connected. Correcting the assignment and validating delivery confirms that monitoring recognition, notification binding, execution, and operational evidence are aligned.

質問 # 96
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