SAP C_DBADM

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SAP C_DBADM Exam Syllabus Topics:

SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. A regional beverage distributor installs an SAP HANA database system for a new analytics rollout. The installation log shows a completed installation task, and SAP HANA cockpit access is available. During handover, the administrator finds that the lifecycle record contains the installation timestamp but does not include the post-installation administration validation result. The analytics team wants to begin loading test data immediately.
The constraint is that the system must be handed over only after installation completion is connected to administration readiness. The handover record must show that the installed database is ready for controlled configuration and workload preparation.
Which action is most appropriate before handover?

A) reat the lifecycle timestamp as sufficient because it proves that the installation task was completed.
B) epeat the installation task so the lifecycle record receives a newer timestamp.
C) apture the missing post-installation administration validation result and update the lifecycle record before releasing the system for controlled preparation.
D) egin loading test data because installation completed and SAP HANA cockpit access is available.

2. A regional healthcare analytics team uses SAP HANA for overnight reporting. SAP HANA cockpit shows normal database availability, but the monitoring dashboard has not updated several performance indicators since the previous evening. Users can still run reports, and no service outage is visible. A support analyst suggests ignoring the stale indicators because the database is responding to queries.
The constraint is that the administrator must restore trustworthy monitoring before the next overnight reporting cycle. The team needs evidence that monitoring data reflects the current system state, not only that the database can execute user requests.
Which action best addresses the monitoring issue?

A) pprove the next cycle because successful report execution proves that monitoring data is not required.
B) ncrease alert thresholds until the stale indicators no longer affect operational review decisions.
C) estart user reporting sessions so the dashboard can display fresh performance values from new executions.
D) nvestigate the monitoring collection state, correct the collection gap, and validate that current indicators update before the next cycle.

3. A subscription services provider operates SAP HANA in a mixed environment. After a planned configuration adjustment intended to improve throughput, administrators observe that nightly batch processing finishes on time, but interactive analyst queries now show intermittent delays. Monitoring shows no broad system outage, and memory consumption remains stable. CPU peaks occur only during specific interactive workload windows.
The platform owner wants a correction that preserves the batch improvement while avoiding a broad reversal of the recent tuning changes. The team must decide based on actual workload behavior rather than a general assumption that the entire configuration set should be rolled back.
What is the best next step?

A) everse all recent configuration changes immediately because any slowdown after tuning proves the full change set was invalid.
B) ncrease system memory allocation first because stable memory use indicates the system is close to its capacity boundary.
C) ompare the changed configuration against the affected workload pattern and adjust only the setting that is degrading interactive execution behavior.
D) ove the interactive workload to the cloud database without further analysis because the current landscape already supports mixed deployment.

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

5. <strong>CHALLENGE 1 &#x2014; Supplier Allocation Readiness for Shared Material Demand</strong> During cutover rehearsal, two plants generate recurring demand for the same packaging material family. Both plants have approved suppliers available, but only one plant follows the expected supplier distribution pattern once purchase documents are created. The sourcing lead wants to preserve a shared support model after go-live rather than rely on local buyer judgment.
What is the best first validation action?

A) ompare source-maintenance setup and purchasing conditions for the material across both plants before changing execution behavior
B) et the slower plant choose suppliers manually until the first live week is complete
C) ssign one preferred supplier to both plants temporarily so cutover rehearsal can finish on time
D) educe approval involvement for packaging purchases so supplier selection can move faster

Solutions: