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SAP Certified - Database Administrator - SAP HANA Sample Questions:
1. <strong>CHALLENGE 2 — Traceability Workload Monitoring Baseline</strong> Late-shift lot-history aggregation shows variable response time during rollout testing. The plant operations manager asks for tuning before the next checkpoint, but the current monitoring baseline has not yet been captured. What should the database owner do first?
A) ove the tuning decision to SAP HANA Cloud because analytics modernization is planned.
B) apture the monitoring baseline and validate threshold relevance before approving tuning.
C) pply tuning immediately because late-shift reporting volume is business critical.
D) isable late-shift monitoring so the next checkpoint focuses only on report completion.
2. A regional medical equipment distributor restarts SAP HANA after a maintenance window. SAP HANA cockpit shows the database as available, and a small set of administrator checks passes. However, the configuration worksheet requires a post-start parameter verification, and the validation note still contains the parameter values captured before maintenance. A warehouse analytics user confirms that one dashboard opens successfully.
The constraint is that the administrator must close the maintenance window only after confirming the active configuration state. General availability and one successful dashboard cannot substitute for validation that the configured runtime values match the expected post-maintenance baseline.
What should the administrator do next?
A) sk more users to open dashboards so runtime configuration can be validated through workload access.
B) erify the active post-start parameter values, update the validation note, and close the window only after configuration evidence matches the expected baseline.
C) estore the pre-maintenance parameter values because they already appear in the validation note.
D) lose the maintenance window because SAP HANA cockpit shows availability and the dashboard opens.
3. A regional equipment rental company is rehearsing migration from SAP HANA on-premises to SAP HANA Cloud. The transfer completes, and the cloud target can be queried through database explorer. During validation, the administrator finds that the rehearsal workbook records the source export time and target query result, but it does not record when target monitoring and backup checks were performed relative to the import. The project lead wants approval because the query result matches expectations.
The constraint is that the migration wave must prove target administration readiness for the migrated state. The validation pattern must support later migration waves without ambiguity about whether operational checks were performed before or after import.
Which recommendation is most appropriate?
A) efer timing evidence until production cutover because the current rehearsal already proves query access.
B) ecord post-import timing for target monitoring and backup checks, rerun any checks with unclear timing, and approve only after evidence matches the migrated state.
C) pprove the rehearsal because the target query result proves that the cloud database contains usable migrated data.
D) epeat only the source export because missing timing evidence indicates that the transfer sequence was unreliable.
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) ncrease dashboard timeout values so users can wait longer for the morning refresh to complete.
B) estart the database after evening reporting so long-running statement history does not affect the next dashboard cycle.
C) nalyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.
D) isable the evening reporting job until dashboard refresh times return to the expected level.
5. <strong>CHALLENGE 4 — Shipping-Cycle Recovery Evidence Gate</strong> The upgraded distribution reporting system has recent backup completion evidence but no current recovery validation record. The installed validation database has a recovery test scheduled before cutover approval. Which interpretation is most accurate?
A) he upgraded system can inherit recoverability evidence from the installed validation database.
B) oth systems have equivalent recoverability evidence because both are covered by backup scheduling.
C) ecovery validation can be skipped because the systems are still in a rehearsal decision window.
D) he cutover package should distinguish backup completion from validated recoverability for each system.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D |






