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SAP Certified - Database Administrator - SAP HANA Sample Questions:

1. A regional agricultural cooperative uses SAP HANA for crop demand analytics in an on-premises administration environment. After a planned restart, SAP HANA cockpit shows the database as available, and analysts can open their reports. During validation, the administrator finds that the automated administration check completed under a fallback execution user because the intended operations user was not active after maintenance. The check result is marked successful, but the scheduled cycle is supposed to run under the operations user.
The constraint is that the administrator must confirm the intended execution identity is restored before closing the activity. The team must not accept a successful check if it ran through a fallback path that will not be used during routine administration.
Which action best resolves the administration execution gap?

A) lose the activity because SAP HANA cockpit shows availability and the automated check completed successfully.
B) eep the fallback execution user for the next scheduled cycle because it already produced a successful check result.
C) estart the database again so the intended operations user becomes active automatically during startup.
D) estore and validate execution under the intended operations user, then rerun the scheduled administration check and record the result.

2. <strong>CHALLENGE 1 &#x2014; UAT Configuration Evidence Reconciliation</strong> A database administrator proposes accepting the UAT comparison now and adding a note that one configuration value was documented outside the current record. Which response is most defensible?

A) ccept the note because it acknowledges the difference without delaying UAT.
B) gnore the note because the release note already proves the configuration is approved.
C) equire the current administration record to reflect the active value before comparison acceptance.
D) ove the value review to the cloud migration workstream to avoid release delay.

3. A regional media services company is preparing a controlled SAP HANA upgrade in a mixed administration landscape. The upgrade preparation checklist shows that the software package was staged successfully. However, the lifecycle validation note shows that one prerequisite check was skipped because the same check passed during an earlier maintenance cycle. The operations manager wants to proceed because the maintenance window is short.
The constraint is that the administrator must avoid starting lifecycle execution unless the current system state is validated. The decision must account for package readiness, prerequisite status, and the risk of relying on outdated validation evidence.
What should the administrator do before starting the upgrade execution?

A) xtend the maintenance window first so the upgrade can be restarted if the skipped check causes an issue.
B) erun the skipped prerequisite check against the current system state and proceed only if the lifecycle validation evidence is complete.
C) roceed with the upgrade and document the skipped prerequisite check as a known operational risk.
D) tart the upgrade because the required package is already staged in the landscape.

4. <strong>CHALLENGE 3 &#x2014; Cloud Planning Evidence Separation</strong> The modernization lead wants the SAP HANA Cloud database included in the same readiness status because it is provisioned and has a limited patient-flow dataset. The cloud environment has not completed the startup, monitoring, or recovery evidence package used for current readiness systems. What is the best response?

A) eep cloud planning evidence separate until cloud-specific administration validation is completed.
B) se the upgraded reporting system&#x2019;s monitoring record as the SAP HANA Cloud readiness record.
C) top cloud planning until the current recovery readiness decision is fully completed.
D) nclude the cloud database in the same status because provisioning and sample data show progress.

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

Solutions: