SAP : C_DBADM Questions & Answers

A regional airport services company operates SAP HANA on-premises for baggage-flow analytics and is assessing an SAP HANA Cloud target for a later migration wave. During an architecture review, the administrator finds that the environment map lists both databases under one “analytics database” entry. SAP HANA cockpit evidence exists for the on-premises database, while SAP HANA Cloud Central evidence exists for the cloud target. The map does not identify which database supports the current operational workload and which database is only in migration preparation.
The constraint is that the administrator must make the environment map usable for operational decisions without removing either database from scope. The map must separate active administration from migration-readiness tracking.
Which action best resolves the architecture mapping gap?

• A. ark the SAP HANA Cloud target as inactive and remove its evidence until the migration wave starts.
• B. eep one combined database entry because both systems are part of the SAP HANA administration landscape.
• C. reat SAP HANA cockpit evidence as sufficient because it represents the database currently supporting operations.
• D. plit the environment map into current workload database and migration-preparation target, with each tied to its own evidence source.

<strong>CHALLENGE 2 &#x2014; Restoration Simulation Monitoring Baseline</strong> The monitoring dashboard shows acceptable daytime availability, but restoration simulation behavior varies after hours. The alert thresholds may still reflect the earlier operational reporting profile. Which action best supports a reliable UAT conclusion?

• A. une the after-hours workload first and update monitoring evidence after the release decision.
• B. ncrease all alert thresholds so the second UAT run avoids unnecessary performance warnings.
• C. reat daytime availability as sufficient because the database remained reachable.
• D. onfirm threshold relevance for the restoration simulation workload before interpreting the dashboard trend.

A regional wholesale distributor runs SAP HANA in a mixed landscape: one on-premises production database and one SAP HANA Cloud database for newer workloads. After a storage maintenance window, the on-premises database starts, but business users report that the most recent sales corrections are missing. In the administration view, the database status is green, the last full backup completed successfully two nights ago, and the latest log backup timestamp is much older than expected.
The operations lead wants recovery completed quickly, but the team must avoid losing committed transactions that were already acknowledged before the outage. The environment allows both cockpit-based checks and command-level administration.
What is the best next action to restore service while addressing the upstream cause of the recovery gap?

• A. estart the SAP HANA services again to force log processing and then repeat the recovery with the same backup set.
• B. reate a new full backup now and use that backup as the baseline for transactional recovery of the missing changes.
• C. estore the latest full backup immediately and reopen the database for users because the database is already running normally.
• D. erify why log backups stopped, re-establish log backup continuity if possible, and then recover using the latest valid full backup plus available log backups.

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

A regional airport operator maintains SAP HANA for operational analytics while preparing an administration model that covers an on-premises database and an SAP HANA Cloud target. During a readiness review, SAP HANA cockpit confirms the on-premises database is available, while SAP HANA Cloud Central confirms that the cloud target is provisioned. However, the review evidence does not identify which environment owns backup monitoring, daily administration checks, or migration rehearsal validation.
The constraint is that the administrator must prevent unclear operational ownership before the next handover meeting. The team must keep both environments in scope without treating tool visibility as proof that administration responsibilities are correctly assigned.
Which action best addresses the ownership ambiguity?

• A. se the on-premises database as the single administration reference until the migration project is fully completed.
• B. pprove the handover because both environments are visible in their respective SAP administration tools.
• C. ssign each administration activity to the correct SAP HANA environment and validate the evidence source for each responsibility.
• D. emove the cloud target from the readiness review because it is not yet supporting the active workload.