100% Pass Quiz SAP - Reliable C_DBADM - SAP Certified - Database Administrator - SAP HANA Hot Questions

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SAP C_DBADM Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitoring & Troubleshooting11-20%- System health monitoring
- Performance analysis and tuning
- Diagnosing and resolving issues
Topic 2: SAP HANA Architecture11-20%- Persistence and in-memory processing
- System components and layered architecture
- Deployment options (on-premise / cloud)
Topic 3: Provisioning SAP HANA11-20%- Upgrade and patching procedures
- Sizing and installation
- System configuration and parameters
Topic 4: Database Security & User Management11-20%- User and role creation
- Authentication and authorization
- Encryption and audit policies
Topic 5: Backup and Recovery11-20%- Recovery and point-in-time restore
- Full, incremental and log backups
- Backup strategies and scheduling
Topic 6: Database Administration11-20%- System startup and shutdown
- Daily operational tasks
- Using SAP HANA Cockpit and Studio

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Latest C_DBADM Exam Questions | New C_DBADM Exam Experience

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q176-Q181):

NEW QUESTION # 176
<strong>CHALLENGE 3 &#x2014; Reporting Performance Evidence Control</strong> Morning shift-handover reports run slower than expected, and the monitoring summary uses some threshold references from the pre-upgrade reporting profile. The field-service group asks for immediate tuning before hypercare closure. What should the administrator do first?

Answer: D

Explanation:
Feedback:
Threshold relevance must be validated before tuning decisions are accepted. The scenario shows that performance interpretation depends on whether monitoring evidence reflects the current post-upgrade reporting profile.


NEW QUESTION # 177
A precision equipment manufacturer is moving selected database workloads from on-premises SAP HANA to SAP HANA Cloud in controlled phases. The next transition wave is technically ready, but the administration team finds that the target cloud environment has been prepared while the operational acceptance criteria are still written only for the on-premises model.
As a result, the migration checklist confirms technical completion but gives no clear decision point for cloud-side monitoring and support readiness. Management wants the transition wave to proceed this month, but it also wants to avoid repeating a pattern where migrated workloads immediately require corrective operational follow-up.
What is the best action before closing the next transition wave?

Answer: C

Explanation:
Feedback:
This is the required modernization drill, but the tension is different from prior runbook-ownership patterns. Here the gap is missing acceptance criteria for the target environment. Technical readiness alone is insufficient because the wave needs a valid cloud-side operational closure point. Adding monitoring, support-readiness, and handover criteria before declaring the wave complete reduces transition risk while preserving the phased modernization approach.


NEW QUESTION # 178
A regional cold-chain logistics company uses SAP HANA for shipment temperature analytics. The backup schedule runs successfully, and SAP HANA cockpit shows recent backup entries. During a recovery readiness review, the administrator finds that the validation environment can read the data backup file but cannot access the related catalog metadata needed to select the correct recovery sequence. The operations team suggests restoring directly from the visible data backup because the file itself is available.
The constraint is that the administrator must validate a controlled recovery process, including correct backup selection and recovery sequence evidence. The team cannot approve readiness based only on the presence of a backup file.
Which action best supports recovery readiness validation?

Answer: B

Explanation:
Feedback:
This corrects the metadata dependency needed for controlled recovery. Restoring catalog access, selecting the correct sequence, and rerunning validation confirms that artifact retrieval, recovery selection, execution, and readiness evidence are aligned.


NEW QUESTION # 179
A regional pharmaceutical distributor completes an SAP HANA installation rehearsal for a new on-premises administration environment. The installer reports completion, and the database can be started. During validation, SAP HANA cockpit shows the system as available, but the operations checklist shows that the database explorer connection was created using a temporary validation name instead of the final administration naming standard. The infrastructure team wants to accept the environment because the connection works.
The constraint is that the administrator must confirm a handover-ready installation, including administration evidence that will remain usable after acceptance. The team must not rely on a temporary validation artifact as the final operational reference.
What should the administrator do before accepting the installation handover?

Answer: C

Explanation:
Feedback:
This corrects the post-installation administration artifact before handover. Creating and validating the final connection confirms that installation completion, tool binding, naming discipline, and operational evidence are aligned.


NEW QUESTION # 180
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?

Answer: C

Explanation:
Feedback:
This acts at the monitored workload behavior layer. Reviewing the execution pattern and applying a targeted timing or configuration correction links the alert evidence to the cause before validating improved dashboard behavior.


NEW QUESTION # 181
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