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| Section | Weight | Objectives |
|---|---|---|
| SAP HANA Architecture | 11-20% | - Persistence and in-memory processing - System components and layered architecture - Deployment options (on-premise / cloud) |
| Backup and Recovery | 11-20% | - Full, incremental and log backups - Recovery and point-in-time restore - Backup strategies and scheduling |
| Database Security & User Management | 11-20% | - User and role creation - Authentication and authorization - Encryption and audit policies |
| Monitoring & Troubleshooting | 11-20% | - Performance analysis and tuning - Diagnosing and resolving issues - System health monitoring |
| Database Administration | 11-20% | - System startup and shutdown - Using SAP HANA Cockpit and Studio - Daily operational tasks |
| Provisioning SAP HANA | 11-20% | - System configuration and parameters - Upgrade and patching procedures - Sizing and installation |
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NEW QUESTION # 86
A pharmaceutical packaging company is validating a planned software maintenance activity on its on-premises SAP HANA database while keeping dependent analytical work active in SAP HANA Cloud. After the maintenance sequence, the system is available, but one lifecycle validation record still shows the pre-maintenance level.
Basic operational checks succeed, so a junior administrator argues that the discrepancy can be ignored until the next window. The maintenance lead is concerned because future administration steps rely on a fully consistent lifecycle state. The team must resolve the issue now without triggering an unnecessary rollback of the entire maintenance cycle.
What is the best next action?
Answer: D
Explanation:
Feedback:
This is a second-order root cause drill. The symptom is a lifecycle validation mismatch, but the upstream problem is that a maintenance finalization step did not complete correctly. Availability alone is not enough because later administration depends on consistent lifecycle state. The right action is to identify the unfinished finalization point and complete it before release.
NEW QUESTION # 87
A regional marine equipment distributor operates SAP HANA on-premises for service-parts analytics and has provisioned an SAP HANA Cloud environment for a future migration rehearsal. During an administration handover, the landscape note states that “database administration monitoring is active,” but the evidence table mixes on-premises cockpit status with SAP HANA Cloud readiness notes. The administrator cannot determine which monitoring evidence supports the current workload and which evidence supports the planned cloud transition.
The constraint is that the handover must support environment-specific administration decisions. The team must keep both environments in scope while avoiding a combined status that hides operational responsibility.
Which action best improves the handover evidence?
Answer: B
Explanation:
Feedback:
This resolves the environment-mapping gap at the landscape evidence layer. Separating environment, workload role, and evidence source confirms that each SAP HANA target has administration evidence tied to the correct operational purpose.
NEW QUESTION # 88
<strong>CHALLENGE 4 — Recovery Validation Before Hypercare Closure</strong> A full backup completed after the SAP HANA upgrade, and business reporting has remained available for several days. Recovery validation is scheduled, but the sponsor wants to close hypercare early. What is the best administration decision?
Answer: A
Explanation:
Feedback:
Recovery validation should be completed before final hypercare closure because backup completion alone does not prove recoverability. The completed backup supports validation, but closure needs evidence that continuity can be restored if required.
NEW QUESTION # 89
A regional apparel retailer uses SAP HANA for store sales analytics. SAP HANA cockpit shows the database as available, but the operations team receives a repeated warning that one monitoring data provider has stopped sending updated values. Business dashboards remain usable, and users have not reported failures. During review, the administrator sees that the affected provider feeds capacity trend analysis used before weekend sales events.
The constraint is that the administrator must restore monitoring evidence before the next weekend event. The team must not rely only on current dashboard availability when capacity trend data is incomplete.
Which response best addresses the monitoring condition?
Answer: C
Explanation:
Feedback:
This targets the monitoring update path where the artifact exists. Correcting the provider update condition and validating current trend collection aligns monitoring configuration, data collection, capacity evidence, and readiness review.
NEW QUESTION # 90
A manufacturing firm uses SAP HANA Cloud for analytics and an on-premises SAP HANA system for operational reporting. After a weekend parameter change, users report that a recurring operational report now completes, but much more slowly than before. Monitoring shows the database is available, CPU is elevated during the report window, and memory consumption remains within expected limits. A junior administrator proposes increasing system resources immediately.
The team lead wants the least disruptive action first because the slowdown affects only one workload pattern, not the entire database. The administrators can review runtime indicators and configuration settings through the available administration tools.
Which action is the best first step?
Answer: D
Explanation:
Feedback:
The artifact pattern is selective degradation: one recurring report slows down, while the database remains available and memory stays normal. That points to a configuration-to-execution effect, not a broad platform failure. The best first step is to correlate the recent parameter change with workload behavior and validate whether execution characteristics changed for that report pattern. This keeps disruption low and follows the constraint of targeted diagnosis before broad corrective action.
NEW QUESTION # 91
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