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SAP C-DBADM-2601 Exam Syllabus Topics:

Section	Objectives
Topic 1: SAP HANA Architecture and Core Concepts	- Tenant and system database concepts - In-memory database concepts - SAP HANA system architecture overview
Topic 2: Security and Authorization	- Security roles and privileges - Authentication and authorization concepts
Topic 3: Database Administration	- Backup and recovery operations - Schema and object administration - User and role management
Topic 4: Monitoring and Performance Tuning	- Performance analysis and troubleshooting - System monitoring tools (HANA Cockpit) - Resource management
Topic 5: Installation and Configuration	- SAP HANA installation procedures - Initial configuration and setup

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q95-Q100):

NEW QUESTION # 95
CHALLENGE 3 - Freight Cloud Readiness Boundary
The project team wants to approve cloud migration planning using three facts: the SAP HANA Cloud database is provisioned, freight sample data is loaded, and on-premises cutover reports run successfully. Which validation step is still required?

A. Approve migration planning because the three facts cover the full readiness chain.
B. Treat the freight sample dataset as proof that cloud monitoring and recovery evidence are complete.
C. Stop on-premises cutover validation because the future reporting direction is cloud-based.
D. Confirm cloud administration readiness evidence for the freight sample dataset scope.

Answer: D

Explanation:
Feedback:
Cloud administration readiness evidence is still required for the freight sample dataset scope. Provisioning and data loading support planning, but they do not complete cloud readiness validation.

NEW QUESTION # 96
CHALLENGE 1 - UAT Configuration Evidence Reconciliation
The release coordinator wants to use the first UAT comparison because activation reports opened successfully. The database team later confirms that the upgraded reporting system's administration record does not reflect the configuration state used during testing. Which decision best supports release-quality evidence?

A. Update the administration record and reassess the UAT comparison against the confirmed state.
B. Treat the missing configuration evidence as unrelated because UAT focuses on reporting access.
C. Replace the upgraded system record with the SAP HANA Cloud provisioning record.
D. Use the comparison because report opening is sufficient evidence for release support.

Answer: A

Explanation:
Feedback:
The administration record should be updated and the UAT comparison reassessed against the confirmed state. This preserves the dependency between configuration evidence and the reporting conclusion used for release support.

NEW QUESTION # 97
A consumer goods company runs SAP HANA for daily operational dashboards in a mixed landscape. The database remains available, but SAP HANA cockpit shows repeated alert notifications for disk usage growth in a data volume. The administrator checks recent workload activity and confirms that dashboard execution still completes successfully. A support analyst proposes acknowledging the alerts because no user-facing outage has occurred.
The constraint is that the administrator must prevent the monitoring artifact from becoming an execution-impacting condition while avoiding unnecessary database restart activity during business hours. The operations manager needs evidence that the alert is being handled at the correct system layer before the next reporting cycle begins.
Which action best addresses the monitoring condition?

A. Investigate volume growth and related workload activity, correct the capacity condition, and validate that the alert state clears.
B. Restart the database so disk usage indicators refresh before the next reporting cycle begins.
C. Increase the alert threshold so the current warning no longer appears during normal dashboard execution.
D. Acknowledge the alert and wait for user reports because dashboard execution currently completes successfully.

Answer: A

Explanation:
Feedback:
This acts at the operational resource layer indicated by the alert artifact. Reviewing growth behavior, correcting the capacity condition, and validating alert clearance confirms that monitoring, resource state, and execution readiness are aligned before the next reporting cycle.

NEW QUESTION # 98
CHALLENGE 2 - Close Aggregation Monitoring Evidence
Claims reserve aggregation ran longer than expected during close rehearsal. Some monitoring thresholds were copied from the prior monthly profile before the upgrade. The reporting lead wants immediate tuning before the next rehearsal. What should the database owner do first?

A. Validate current monitoring thresholds and preserve baseline evidence before approving tuning.
B. Disable aggregation monitoring so the next rehearsal focuses only on report completion.
C. Move aggregation tuning to SAP HANA Cloud because future reporting may transition there.
D. Apply tuning immediately because the close aggregation runtime affects business timing.

Answer: A

Explanation:
Feedback:
The database owner should validate threshold relevance and preserve baseline evidence before tuning. This keeps performance decisions tied to current close-cycle behavior instead of inherited monitoring assumptions.

NEW QUESTION # 99
A regional subscription meal company runs SAP HANA for delivery forecast analytics. SAP HANA cockpit shows normal database availability, but the operations team sees that a memory consumption graph has a gap during the nightly planning run. The alert log has no critical entry, yet planners reported slower dashboard response during that same interval. A support coordinator suggests lowering the memory alert threshold to catch the next occurrence.
The constraint is that the administrator must restore trustworthy monitoring evidence before changing alert sensitivity. The next planning run must allow the team to correlate workload behavior with memory evidence.
Which action best addresses the monitoring gap?

A. Verify and correct the memory metric collection path, monitor the next planning run, and validate that the graph captures the interval.
B. Lower the memory alert threshold so the next planning run produces a clearer alert.
C. Restart the database before the next planning run so the memory graph begins with a clean measurement baseline.
D. Ignore the graph gap because no critical alert was created and the database remained available.

Answer: A

Explanation:
Feedback:
This acts at the monitoring evidence layer where the artifact is incomplete. Correcting metric collection and validating the next run aligns workload timing, memory evidence, troubleshooting interpretation, and later configuration decisions.

NEW QUESTION # 100
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