SAP Certified - Database Administrator - SAP HANA 認定 C_DBADM_2601 試験問題:

1. A consumer goods company runs SAP HANA for daily operational dashboards in a mixed landscape. The database remains available, but SAP HANA cockpit shows repeated alert notifications for disk usage growth in a data volume. The administrator checks recent workload activity and confirms that dashboard execution still completes successfully. A support analyst proposes acknowledging the alerts because no user-facing outage has occurred.
The constraint is that the administrator must prevent the monitoring artifact from becoming an execution-impacting condition while avoiding unnecessary database restart activity during business hours. The operations manager needs evidence that the alert is being handled at the correct system layer before the next reporting cycle begins.
Which action best addresses the monitoring condition?

A) Acknowledge the alert and wait for user reports because dashboard execution currently completes successfully.
B) Restart the database so disk usage indicators refresh before the next reporting cycle begins.
C) Increase the alert threshold so the current warning no longer appears during normal dashboard execution.
D) Investigate volume growth and related workload activity, correct the capacity condition, and validate that the alert state clears.

2. A regional healthcare supply wholesaler runs SAP HANA for distribution analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays normal response time while a workload review shows a short queue increase during invoice analytics processing. Users reported a delay during the same interval. The support lead suggests increasing response-time thresholds because the dashboard did not show a severe issue.
The constraint is that the administrator must explain the delay using consistent monitoring evidence before changing thresholds. The next invoice analytics cycle must remain observable without masking the symptom.
Which action best supports correct troubleshooting?

A) Restart SAP HANA before the next invoice analytics cycle to reset both response-time and queue measurements.
B) Ignore the workload queue increase because the operations dashboard showed normal response time.
C) Increase response-time thresholds so minor delays no longer appear as operational concerns.
D) Compare the dashboard interval with workload queue evidence, validate the timing relationship, and investigate the queue source before changing thresholds.

3. CHALLENGE 3 - Cloud Modernization Evidence Boundary
The modernization lead wants the SAP HANA Cloud database included in the same readiness status because it is provisioned and has a limited outage analytics dataset. The cloud environment has not completed the startup, monitoring, or recovery evidence package used for active hypercare systems. What is the best response?

A) Include the cloud database in the same status because provisioning and sample data show progress.
B) Keep cloud modernization evidence separate until cloud-specific administration validation is completed.
C) Use the upgraded service reporting system's monitoring record as the SAP HANA Cloud readiness record.
D) Stop cloud planning until the current hypercare readiness decision is fully completed.

4. A laboratory services company runs SAP HANA for sample throughput reporting. The database remains available, but SAP HANA cockpit shows a recurring warning for long-running statements during the evening batch reporting period. The reporting job completes, yet the next morning dashboard refresh is slower than expected. A support coordinator proposes increasing dashboard timeout values because the reports eventually finish.
The constraint is that the administrator must correct the operational cause rather than mask the symptom. The system must remain available, and any adjustment must be based on monitoring evidence from the affected execution window.
Which response best fits the monitoring evidence?

A) Analyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.
B) Restart the database after evening reporting so long-running statement history does not affect the next dashboard cycle.
C) Disable the evening reporting job until dashboard refresh times return to the expected level.
D) Increase dashboard timeout values so users can wait longer for the morning refresh to complete.

5. CHALLENGE 3 - Freight Cloud Readiness Boundary
The modernization lead wants the SAP HANA Cloud database included in the same release readiness status because it is provisioned and has a freight sample dataset. The cloud environment has not completed the startup, monitoring, or recovery evidence package used for active cutover systems. What is the best response?

A) Use the upgraded distribution system's monitoring record as the SAP HANA Cloud readiness record.
B) Include the cloud database in the same status because provisioning and sample data show progress.
C) Stop cloud planning until the current cutover release decision is fully completed.
D) Keep cloud migration evidence separate until cloud-specific administration validation is completed.

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