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SAP C-DBADM-2601 Exam Syllabus Topics:

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

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q144-Q149):

NEW QUESTION # 144
CHALLENGE 1 - Post-Upgrade Configuration Consistency Review
The database owner wants to close a configuration item because users can access reports successfully. The administration record does not yet show whether a post-upgrade value is intentionally retained or left over from upgrade preparation. Which action best supports a controlled hypercare decision?

A. Move the value review to the future cloud transition because the current database is on-premises.
B. Close the item because user access confirms that the database is ready for business reporting.
C. Compare the active post-upgrade value with the intended administration baseline before closure.
D. Replace the value with the cloud setting to simplify administration across the mixed landscape.

Answer: C

Explanation:
Feedback:
The active value should be compared with the intended post-upgrade administration baseline before closure. Hypercare closure should be based on verified configuration state, not only successful report access.

NEW QUESTION # 145
A regional healthcare supply wholesaler runs SAP HANA for distribution analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays normal response time while a workload review shows a short queue increase during invoice analytics processing. Users reported a delay during the same interval. The support lead suggests increasing response-time thresholds because the dashboard did not show a severe issue.
The constraint is that the administrator must explain the delay using consistent monitoring evidence before changing thresholds. The next invoice analytics cycle must remain observable without masking the symptom.
Which action best supports correct troubleshooting?

A. Compare the dashboard interval with workload queue evidence, validate the timing relationship, and investigate the queue source before changing thresholds.
B. Ignore the workload queue increase because the operations dashboard showed normal response time.
C. Increase response-time thresholds so minor delays no longer appear as operational concerns.
D. Restart SAP HANA before the next invoice analytics cycle to reset both response-time and queue measurements.

Answer: A

Explanation:
Feedback:
This addresses the monitoring correlation layer. Aligning dashboard timing with queue evidence and investigating the queue source connects user symptom, workload behavior, monitoring interpretation, and any later configuration decision.

NEW QUESTION # 146
CHALLENGE 1 - Plant Wave Configuration Evidence Alignment
During rollout preparation, plant quality test users can connect to both SAP HANA reporting systems. The newly installed wave database has its active configuration documented, but the upgraded pilot system still has one stabilization value recorded only in a local operations note. What should the administrator do before accepting the rollout comparison?

A. Reconcile the pilot configuration value into the central administration record before acceptance.
B. Remove the documented value from the wave database record so both records appear similar.
C. Accept the comparison because both systems allow reporting connections.
D. Continue the rollout and review the local operations note after plant users begin testing.

Answer: A

Explanation:
Feedback:
The administrator should reconcile the pilot configuration value into the central administration record before accepting the comparison. Reporting connectivity does not prove that both SAP HANA systems are being evaluated against comparable documented states.

NEW QUESTION # 147
A consumer goods company runs an on-premises SAP HANA database for core operational processing and uses SAP HANA Cloud for newer analytical workloads. During a scheduled maintenance window, the database administrator completes preparatory upgrade steps on the on-premises system, but the post-maintenance validation shows that the database services are available while the planned upgrade state has not been reached consistently.
One lifecycle check still reports the previous software level, and dependent validation tasks remain blocked. The operations lead wants the issue resolved within the same window without introducing unnecessary rollback risk. The team can use both administration interfaces and command-level tooling, but they must confirm the upgrade state before handing the system back.
What is the best next action?

A. Validate the incomplete lifecycle step, confirm which upgrade phase did not finalize correctly, and complete that phase before release.
B. Restore the pre-maintenance backup immediately because any lifecycle mismatch means the upgrade attempt has already failed.
C. Restart the full database landscape again and assume the remaining lifecycle indicator will update after all services come back online.
D. Proceed with handover because service availability is the primary success criterion and version alignment can be verified later.

Answer: A

Explanation:
Feedback:
The artifact is not a simple outage. Services are available, but the lifecycle state is inconsistent because one check still shows the prior software level. The correct response is to validate which upgrade phase did not complete and finish that phase before release. This addresses the upstream dependency: lifecycle completion must align with runtime availability before validation tasks can succeed.

NEW QUESTION # 148
A consumer lending firm runs an on-premises SAP HANA database for core transaction support and uses SAP HANA Cloud for selected analytical workloads. During the morning review, administrators see that the database remains available and background jobs finished, but one monitoring dashboard now shows repeated alert bursts for a short interval after each monitoring cycle.
The alert pattern clears on its own and does not affect general user processing. A team member recommends disabling the noisy alert because it looks self-correcting. The operations lead wants to keep monitoring reliable without hiding a genuine issue, and the first action must stay within current operating scope.
What is the best first action?

A. Restart the monitored database so the alert pattern can be cleared before the next review cycle begins.
B. Disable the alert temporarily because self-clearing alerts do not represent a meaningful operational problem.
C. Increase system capacity immediately because repeated alerts prove the current environment is under-sized.
D. Review whether the alert bursts are caused by a specific monitoring threshold or collection sequence before changing the alert design.

Answer: D

Explanation:
Feedback:
The key artifact is a repeating, short-lived alert burst that clears without user impact. That pattern suggests the need to distinguish between an actual platform issue and a monitoring threshold or collection-sequence problem. The best first action is to validate whether the alert design or collection behavior is producing the burst pattern before making disruptive system changes.

NEW QUESTION # 149
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