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

1. A consumer lending firm runs an on-premises SAP HANA database for core transaction support and uses SAP HANA Cloud for selected analytical workloads. During the morning review, administrators see that the database remains available and background jobs finished, but one monitoring dashboard now shows repeated alert bursts for a short interval after each monitoring cycle.
The alert pattern clears on its own and does not affect general user processing. A team member recommends disabling the noisy alert because it looks self-correcting. The operations lead wants to keep monitoring reliable without hiding a genuine issue, and the first action must stay within current operating scope.
What is the best first action?

A) ncrease system capacity immediately because repeated alerts prove the current environment is under-sized.
B) isable the alert temporarily because self-clearing alerts do not represent a meaningful operational problem.
C) eview whether the alert bursts are caused by a specific monitoring threshold or collection sequence before changing the alert design.
D) estart the monitored database so the alert pattern can be cleared before the next review cycle begins.

2. A precision equipment manufacturer is moving selected database workloads from on-premises SAP HANA to SAP HANA Cloud in controlled phases. The next transition wave is technically ready, but the administration team finds that the target cloud environment has been prepared while the operational acceptance criteria are still written only for the on-premises model.
As a result, the migration checklist confirms technical completion but gives no clear decision point for cloud-side monitoring and support readiness. Management wants the transition wave to proceed this month, but it also wants to avoid repeating a pattern where migrated workloads immediately require corrective operational follow-up.
What is the best action before closing the next transition wave?

A) lose the wave based on technical migration completion and add the cloud-side support criteria after productive use begins.
B) eturn the prepared target workload to the on-premises roadmap because mixed-environment acceptance criteria always create unnecessary complexity.
C) top the migration program entirely until a single permanent operating model can be agreed for both environments.
D) dd target-environment operational acceptance checks for monitoring, support readiness, and handover before declaring the wave complete.

3. A media distribution company recently adjusted a database configuration setting on its on-premises SAP HANA environment to improve background data preparation before replication to SAP HANA Cloud. The next day, overnight processing improved, but administrators notice that morning analyst sessions now experience short response spikes during a narrow usage window. System availability is normal, and memory indicators remain within target range.
A platform engineer recommends increasing CPU allocation because the analyst complaints appear during peak usage. The service owner wants the least disruptive correction that preserves the overnight gain while resolving the new daytime regression.
What is the best first step?

A) ove the analyst workload completely to SAP HANA Cloud because the mixed landscape already supports that target environment.
B) everse the full tuning change immediately because any daytime slowdown proves the optimization attempt failed overall.
C) ompare the recent configuration change against the affected workload pattern and adjust only the setting that is shifting performance away from interactive use.
D) ncrease CPU resources first because a short response spike always indicates the current configuration is already correct but undersized.

4. <strong>CHALLENGE 4 &#x2014; Rollout Recovery Validation Gate</strong>
Backups completed for the upgraded pilot system and the newly installed SAP HANA wave database before the rollout checkpoint. Recovery validation for the wave database is scheduled but not complete, and the pilot system has only backup completion evidence. What should happen before wave release approval?

A) eplace recovery validation with dashboard availability because this is a rollout checkpoint.
B) omplete recovery validation and document startup behavior for the rollout systems.
C) pprove the wave because completed backups are enough for rollout continuity.
D) elease the wave and perform recovery validation only if reporting becomes unavailable.

5. A regional event management company runs SAP HANA for ticket sales analytics. SAP HANA cockpit shows the database as available, but the operations team observes that statement-level troubleshooting evidence is missing for one reporting window. The general performance dashboard shows a brief response-time increase, while the detailed statement history has no entries for the affected period. A support coordinator proposes adjusting report schedules because the dashboard indicates a slowdown.
The constraint is that the administrator must validate the diagnostic evidence path before changing workload timing. The next reporting window must remain available while the team confirms why detailed statement evidence was not captured.
Which action best addresses the troubleshooting gap?

A) gnore the issue because the database remained available and only detailed troubleshooting evidence was missing.
B) erify the statement-history collection path for the affected period, correct the collection issue, and validate captured evidence in the next window.
C) estart SAP HANA before the next window so the detailed statement history starts with a clean monitoring state.
D) hange the report schedule immediately because the response-time increase proves the workload timing is wrong.

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