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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: SAP HANA Architecture and Deployment	11% - 20%	- Architecture components and concepts - Installation and upgrade procedures - Deployment options: on-premise and cloud
Topic 2: Database Administration and Configuration	11% - 20%	- User and authorization management - Resource management and allocation - System configuration and parameters
Topic 3: Backup and Recovery	11% - 20%	- High availability and disaster recovery - Backup strategies and execution - Recovery procedures and scenarios
Topic 4: Database Security	11% - 20%	- Security settings and encryption - Data protection and access control - Audit and compliance
Topic 5: Monitoring and Troubleshooting	11% - 20%	- Monitoring tools and metrics - Performance analysis and optimization - Problem diagnosis and resolution
Topic 6: Migration and Integration	11% - 20%	- Integration with SAP systems - Data movement and replication - Migration to SAP HANA Cloud

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q63-Q68):

NEW QUESTION # 63
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?

A. Restart the database so all monitoring data providers are refreshed during startup.
B. Close the warning because dashboard users have not reported failures and the database remains available.
C. Validate the affected monitoring provider, correct the update path, and confirm that current capacity trend values are collected.
D. Increase dashboard refresh intervals so the missing capacity trend values have less operational impact.

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 # 64
A regional electronics distributor is validating an SAP HANA upgrade rehearsal in an on-premises environment. The database starts successfully after the upgrade, and SAP HANA cockpit shows normal availability. During administrative validation, hdbsql checks from the operations workstation fail with a client compatibility message, while cockpit-based checks continue to work. The upgrade record confirms the database revision was updated, but the workstation tooling was not reviewed after the rehearsal.
The constraint is that the administrator must confirm post-upgrade administration through the required mixed tooling before approving the production window. The team must not treat cockpit-only validation as sufficient.
Which action best completes the upgrade validation?

A. Align the operations workstation tooling with the upgraded database requirements, rerun hdbsql validation, and record the result.
B. Downgrade the database revision because hdbsql cannot connect from the operations workstation.
C. Replace the command-line validation with cockpit-only checks for the production upgrade window.
D. Approve the rehearsal because the upgraded database starts and SAP HANA cockpit checks succeed.

Answer: A

Explanation:
Feedback:
This resolves the post-upgrade tooling compatibility gap. Aligning the workstation tooling and rerunning hdbsql validation confirms that upgrade execution, database availability, administration tool compatibility, and operational evidence are aligned.

NEW QUESTION # 65
A regional furniture manufacturer uses SAP HANA for production-demand analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays a short CPU spike during the planning run while the workload log shows a longer query wait interval. Users reported slow report refreshes at the same time. A coordinator suggests raising the CPU alert threshold because the spike was brief.
The constraint is that the administrator must determine whether the user delay is related to workload wait behavior before changing monitoring thresholds. The next planning run must remain observable with evidence that can support troubleshooting.
Which action best supports the troubleshooting decision?

A. Raise the CPU alert threshold because the observed spike was brief and the database remained available.
B. Restart the database before the next planning run so the workload log starts from a clean state.
C. Ignore the workload wait interval because SAP HANA cockpit did not show a database outage.
D. Correlate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.

Answer: D

Explanation:
Feedback:
This addresses the evidence-correlation layer. Aligning CPU behavior, query wait timing, and user impact supports a valid troubleshooting conclusion before any monitoring threshold or configuration decision is made.

NEW QUESTION # 66
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. Extend the maintenance window first so the upgrade can be restarted if the skipped check causes an issue.
B. Rerun the skipped prerequisite check against the current system state and proceed only if the lifecycle validation evidence is complete.
C. Proceed with the upgrade and document the skipped prerequisite check as a known operational risk.
D. Start the upgrade because the required package is already staged in the landscape.

Answer: B

Explanation:
Feedback:
This resolves the lifecycle-state mismatch before execution. Rerunning the prerequisite check aligns the current system state, staged package, validation evidence, and upgrade approval path.

NEW QUESTION # 67
CHALLENGE 3 - Cloud Planning Evidence Separation
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. Stop cloud planning until the current recovery readiness decision is fully completed.
B. Use the upgraded reporting system's monitoring record as the SAP HANA Cloud readiness record.
C. Keep cloud planning evidence separate until cloud-specific administration validation is completed.
D. Include the cloud database in the same status because provisioning and sample data show progress.

Answer: C

Explanation:
Feedback:
Cloud planning evidence should remain separate until cloud-specific administration validation is completed. Provisioning and sample data support migration planning, but they do not equal current recovery readiness.

NEW QUESTION # 68
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