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SAP C_DBADM Exam Syllabus Topics:

Section	Objectives
Topic 1: User and Security Management	- Security best practices in SAP HANA - Authorization concepts - User provisioning and role management
Topic 2: Performance Monitoring and Tuning	- Performance analysis and optimization - Workload and resource management - System monitoring tools
Topic 3: Database Operations and Data Provisioning	- Backup and recovery procedures - Data provisioning methods (SDI, SLT) - Replication and data synchronization
Topic 4: High Availability and Disaster Recovery	- System replication concepts - Failover and recovery strategies
Topic 5: SAP HANA Architecture and Administration	- SAP HANA system architecture components - Installation and initial configuration - System landscape overview

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q75-Q80):

NEW QUESTION # 75
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. gnore the workload queue increase because the operations dashboard showed normal response time.
B. ompare the dashboard interval with workload queue evidence, validate the timing relationship, and investigate the queue source before changing thresholds.
C. ncrease response-time thresholds so minor delays no longer appear as operational concerns.
D. estart SAP HANA before the next invoice analytics cycle to reset both response-time and queue measurements.

Answer: B

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 # 76
A regional library services network uses SAP HANA for circulation analytics. After a planned stop and start, SAP HANA cockpit shows the database as available. During administration validation, the administrator sees that one configured service is listed as expected in the configuration worksheet, but the active service status view shows it has not reached the expected running state. The service desk wants to close the maintenance task because user queries are returning results.
The constraint is that the administrator must validate configured service readiness, not only general query availability. Closure requires evidence that the configured service state matches the expected active state.
What should the administrator do before closing the task?

A. sk users to rerun queries so successful query execution can confirm the configured service state indirectly.
B. alidate and correct the service startup state in the active administration context, then confirm that it matches the configured expectation.
C. lose the task because user queries are returning results and the database is available.
D. emove the service from the configuration worksheet so the active status view no longer conflicts with documentation.

Answer: B

Explanation:
Feedback:
This acts at the service readiness layer where the mismatch is visible. Correcting and validating the active startup state aligns configuration, runtime service status, execution readiness, and closure evidence.

NEW QUESTION # 77
A university research center operates SAP HANA in a mixed landscape while preparing administrative standards for both an on-premises database and an SAP HANA Cloud environment. During a readiness review, the administrator notices that the operations checklist treats database availability, administration tooling access, backup review, and migration readiness as one generic “SAP HANA ready” status. SAP HANA cockpit shows the on-premises system as available, while SAP HANA Cloud Central shows the cloud target as provisioned but not yet used for active workloads.
The constraint is that the administrator must avoid approving a readiness status that hides environment-specific responsibilities. The checklist must support clear operational validation without redesigning the landscape.
Which action best improves the readiness review?

A. eparate the checklist into environment-specific validation points and confirm the required evidence for each SAP HANA environment.
B. pprove the readiness status because both SAP HANA environments are visible in their respective administration tools.
C. se only the on-premises cockpit status because the active workload still runs on the on-premises SAP HANA database.
D. elay the readiness review until the SAP HANA Cloud target hosts the same workload as the on-premises database.

Answer: A

Explanation:
Feedback:
This resolves the readiness ambiguity at the landscape validation layer. Separating evidence by environment ensures that availability, administration access, backup review, and migration readiness are validated against the correct SAP HANA target.

NEW QUESTION # 78
<strong>CHALLENGE 2 — Outage Analytics Monitoring Baseline</strong> Early-morning incident simulation reports showed variable response time, and the operations lead requests tuning before the next service review. The monitoring baseline has not been fully captured, and some thresholds still reflect the pre-hypercare reporting profile. What should the database owner do first?

A. pply tuning immediately because outage analytics affects service operations readiness.
B. apture the current monitoring baseline and validate threshold relevance before tuning.
C. isable incident simulation alerts so the next review focuses only on report completion.
D. ove the tuning decision to SAP HANA Cloud because future analytics may migrate there.

Answer: B

Explanation:
Feedback:
The database owner should capture the baseline and validate threshold relevance before tuning. This prevents performance changes from obscuring the current hypercare evidence.

NEW QUESTION # 79
<strong>CHALLENGE 1 — Supplier Allocation Readiness for Shared Material Demand</strong> A plant buyer argues that urgent materials should allow local supplier substitution whenever the expected allocation pattern does not appear quickly enough during rehearsal. The cutover office is concerned that this approach will create unpredictable post-go-live support demands. Which decision is most appropriate?

A. reserve centrally governed allocation behavior and confirm whether shared-demand materials enter purchasing execution with aligned sourcing assumptions
B. ermit local supplier substitution for all urgent materials because speed is more important during rehearsal
C. emove shared-demand materials from rehearsal scope and validate only plant-specific items
D. ause all supplier-allocation validation until the legacy system is fully shut down

Answer: A

Explanation:
Feedback:
The scenario is testing whether shared-demand materials can follow the intended sourcing model under cutover pressure. Preserving centrally governed allocation behavior while validating aligned sourcing assumptions protects both go-live supportability and template reuse.

NEW QUESTION # 80
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